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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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HandleHubspotRateLimitTest
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<?php
namespace Jiminny\Http\Controllers;
use Illuminate\Foundation\Auth\Access\AuthorizesRequests;
use Illuminate\Http\RedirectResponse;
use Illuminate\Auth\Access\AuthorizationException;
use Illuminate\Http\JsonResponse;
use Illuminate\Http\Request;
use Illuminate\Http\Response;
use Illuminate\Notifications\DatabaseNotification;
use Illuminate\Support\Facades\Log;
use Jiminny\Component\PlaybackPage\Download\Services\DownloadActivityService;
use Jiminny\Http\Serializers\JsonSerializer;
use Jiminny\Http\Transformers\PlaybackPageTransformer;
use Jiminny\Models\User;
use Jiminny\Models;
use Jiminny\Models\Activity;
use Jiminny\Models\Track;
use Jiminny\Services\PlanhatService;
use Jiminny\Services\PlaybackService;
use JsonException;
use Spatie\Fractal\Fractal;
use Illuminate\Support\Facades\Cookie;
final class PlaybackController extends FrontendController
{
use AuthorizesRequests;
public function __construct(
private readonly PlaybackService $playbackService,
private readonly DownloadActivityService $downloadActivityService,
private readonly PlanhatService $planhatService,
) {
}
/**
* @throws AuthorizationException
* @throws JsonException
*/
public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string
{
$this->authorize('view', $activity);
/** @var User $user */
$user = $request->user();
$activityTypeCheck = in_array(
$activity->type,
[
Activity::TYPE_CONFERENCE,
Activity::TYPE_SOFTPHONE,
Activity::TYPE_SOFTPHONE_INBOUND,
],
true
);
abort_unless($activityTypeCheck, 404);
$notificationId = $request->input('nId');
if ($notificationId) {
/** @var DatabaseNotification|null $notification */
$notification = $user->unreadNotifications->where('id', $notificationId)->first();
if ($notification) {
$notification->markAsRead();
}
}
$view = $request->input('view', 'page');
$activity->loadMissing([
'questions.participant',
'participants.activity',
'topicTriggers',
'topicTriggers.participant',
'topicTriggers.playbackThemeTopicTrigger',
'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',
]);
$data = Fractal::create()
->item(
$activity,
$transformer->setConsumer($user)
)
->serializeWith(new JsonSerializer())
->toArray();
$data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);
if (! isset($data['playbackData']['tracks'])) {
$data['playbackData']['tracks'] = [];
}
/**
* Sending 'playbackVisited' event to Planhat without slowing the
* response to the user e.g. after the response is sent back.
*/
defer(
fn () => $this->planhatService->track(
user: $user,
event: 'playbackVisited',
payload: [
'activityId' => $activity->getId(),
'activityUuid' => $activity->getUuid(),
]
)
)->always();
return $this->render([
'playbackData' => [
'activity' => $data['playbackData'],
'favorited' => $data['favorited'],
'subscribed' => $data['subscribed'],
'view' => $view,
],
]);
}
private function getPreloadedPlaylist(Activity $activity): array
{
$masterPlaylist = [];
$urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;
$this->authorize('stream', $activity);
$masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);
$masterPlaylist['placeholder'] = $urlPlaceholder;
$masterPlaylist['tracks'] = [];
/** @var Models\Track $track */
foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {
$mediaPlaylistPath = $this->mediaPlaylistPath($track);
$masterPlaylist['tracks'][] = [
'id' => $track->getUuid(),
'path' => $mediaPlaylistPath,
];
}
return $masterPlaylist;
}
/**
* @throws AuthorizationException
*/
public function playlist(Activity $activity): Response
{
$this->authorize('stream', $activity);
$masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);
return response($masterPlaylist)
->header('Content-Type', 'application/x-mpegURL');
}
/**
* Generate a VTT "Video Text Tracks" file.
*
* @throws AuthorizationException
*/
public function vtt(Activity $activity): Response
{
$this->authorize('stream', $activity);
$vtt = $this->playbackService->generateVtt($activity);
return response($vtt)
->header('Content-Type', 'text/vtt;charset=utf-8');
}
/**
* @throws AuthorizationException
*/
public function media(Track $track): Response
{
$this->authorize('stream', $track->activity);
$this->queueMediaCookies($track);
$payload = $this->playbackService->generateMediaPlaylist($track);
return response($payload)
->header('Content-Type', 'application/x-mpegURL');
}
private function mediaPlaylistPath(Track $track): string
{
$this->queueMediaCookies($track);
// @TODO return cdn when CORS is fixed
// return client_cdn($track->content_path, $track->activity->user->team);
return route('media', ['track' => $track->id_string]);
}
private function queueMediaCookies(Track $track): void
{
$keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;
if (Cookie::has($keepAliveCookieName)) {
return;
}
// Restrict segment URLs to the IP requesting it.
$remoteIp = request()->ip();
$cookies = $this->playbackService->generateCookies($track, $remoteIp);
$keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;
// Cookie is only valid for this particular stream path.
$trackPath = '/' . preg_replace('/\/[^\/]+$/', '/', $track->content_path);
$host = config('jiminny.client_cdn_signed_cookie_domain');
// Queue up cookies to be able to be served secure track media.
foreach ($cookies as $name => $cookie) {
Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);
}
// Cookie is only valid for this particular activity.
$paths = [
route('activity.playback', $track->activity->id_string, false),
route('media', ['track' => $track->id_string], false),
];
foreach ($paths as $path) {
Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);
}
}
/**
* Used by the Web app to download the activity.
*
* @throws AuthorizationException
*/
public function download(Activity $activity): RedirectResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Download failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return redirect($url);
}
/**
* Used by the Mobile app to download the activity.
*
* @throws AuthorizationException
*/
public function getDownloadUrl(Activity $activity): JsonResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Getting signed url failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return new JsonResponse(
['activity_url' => $url],
JsonResponse::HTTP_OK
);
}
}
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Code changed:
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project
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Jiminny\\Services\\PlanhatService;\nuse Jiminny\\Services\\PlaybackService;\nuse JsonException;\nuse Spatie\\Fractal\\Fractal;\nuse Illuminate\\Support\\Facades\\Cookie;\n\nfinal class PlaybackController extends FrontendController\n{\n use AuthorizesRequests;\n\n public function __construct(\n private readonly PlaybackService $playbackService,\n private readonly DownloadActivityService $downloadActivityService,\n private readonly PlanhatService $planhatService,\n ) {\n }\n\n /**\n * @throws AuthorizationException\n * @throws JsonException\n */\n public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string\n {\n $this->authorize('view', $activity);\n\n /** @var User $user */\n $user = $request->user();\n\n $activityTypeCheck = in_array(\n $activity->type,\n [\n Activity::TYPE_CONFERENCE,\n Activity::TYPE_SOFTPHONE,\n Activity::TYPE_SOFTPHONE_INBOUND,\n ],\n true\n );\n\n abort_unless($activityTypeCheck, 404);\n\n $notificationId = $request->input('nId');\n if ($notificationId) {\n /** @var DatabaseNotification|null $notification */\n $notification = $user->unreadNotifications->where('id', $notificationId)->first();\n\n if ($notification) {\n $notification->markAsRead();\n }\n }\n\n $view = $request->input('view', 'page');\n\n $activity->loadMissing([\n 'questions.participant',\n 'participants.activity',\n 'topicTriggers',\n 'topicTriggers.participant',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',\n ]);\n\n $data = Fractal::create()\n ->item(\n $activity,\n $transformer->setConsumer($user)\n )\n ->serializeWith(new JsonSerializer())\n ->toArray();\n\n $data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);\n\n if (! isset($data['playbackData']['tracks'])) {\n $data['playbackData']['tracks'] = [];\n }\n\n /**\n * Sending 'playbackVisited' event to Planhat without slowing the\n * response to the user e.g. after the response is sent back.\n */\n defer(\n fn () => $this->planhatService->track(\n user: $user,\n event: 'playbackVisited',\n payload: [\n 'activityId' => $activity->getId(),\n 'activityUuid' => $activity->getUuid(),\n ]\n )\n )->always();\n\n return $this->render([\n 'playbackData' => [\n 'activity' => $data['playbackData'],\n 'favorited' => $data['favorited'],\n 'subscribed' => $data['subscribed'],\n 'view' => $view,\n ],\n ]);\n }\n\n private function getPreloadedPlaylist(Activity $activity): array\n {\n $masterPlaylist = [];\n $urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;\n\n $this->authorize('stream', $activity);\n\n $masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);\n $masterPlaylist['placeholder'] = $urlPlaceholder;\n $masterPlaylist['tracks'] = [];\n\n /** @var Models\\Track $track */\n foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {\n $mediaPlaylistPath = $this->mediaPlaylistPath($track);\n $masterPlaylist['tracks'][] = [\n 'id' => $track->getUuid(),\n 'path' => $mediaPlaylistPath,\n ];\n }\n\n return $masterPlaylist;\n }\n\n /**\n * @throws AuthorizationException\n */\n public function playlist(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);\n\n return response($masterPlaylist)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n /**\n * Generate a VTT \"Video Text Tracks\" file.\n *\n * @throws AuthorizationException\n */\n public function vtt(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $vtt = $this->playbackService->generateVtt($activity);\n\n return response($vtt)\n ->header('Content-Type', 'text/vtt;charset=utf-8');\n }\n\n /**\n * @throws AuthorizationException\n */\n public function media(Track $track): Response\n {\n $this->authorize('stream', $track->activity);\n\n $this->queueMediaCookies($track);\n\n $payload = $this->playbackService->generateMediaPlaylist($track);\n\n return response($payload)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n private function mediaPlaylistPath(Track $track): string\n {\n $this->queueMediaCookies($track);\n\n // @TODO return cdn when CORS is fixed\n // return client_cdn($track->content_path, $track->activity->user->team);\n return route('media', ['track' => $track->id_string]);\n }\n\n private function queueMediaCookies(Track $track): void\n {\n $keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;\n if (Cookie::has($keepAliveCookieName)) {\n return;\n }\n\n // Restrict segment URLs to the IP requesting it.\n $remoteIp = request()->ip();\n $cookies = $this->playbackService->generateCookies($track, $remoteIp);\n\n $keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;\n\n // Cookie is only valid for this particular stream path.\n $trackPath = '/' . preg_replace('/\\/[^\\/]+$/', '/', $track->content_path);\n $host = config('jiminny.client_cdn_signed_cookie_domain');\n\n // Queue up cookies to be able to be served secure track media.\n foreach ($cookies as $name => $cookie) {\n Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);\n }\n\n // Cookie is only valid for this particular activity.\n $paths = [\n route('activity.playback', $track->activity->id_string, false),\n route('media', ['track' => $track->id_string], false),\n ];\n foreach ($paths as $path) {\n Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);\n }\n }\n\n /**\n * Used by the Web app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function download(Activity $activity): RedirectResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Download failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return redirect($url);\n }\n\n /**\n * Used by the Mobile app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function getDownloadUrl(Activity $activity): JsonResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Getting signed url failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return new JsonResponse(\n ['activity_url' => $url],\n JsonResponse::HTTP_OK\n );\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\nnamespace Jiminny\\Http\\Controllers;\n\nuse Illuminate\\Foundation\\Auth\\Access\\AuthorizesRequests;\nuse Illuminate\\Http\\RedirectResponse;\nuse Illuminate\\Auth\\Access\\AuthorizationException;\nuse Illuminate\\Http\\JsonResponse;\nuse Illuminate\\Http\\Request;\nuse Illuminate\\Http\\Response;\nuse Illuminate\\Notifications\\DatabaseNotification;\nuse Illuminate\\Support\\Facades\\Log;\nuse Jiminny\\Component\\PlaybackPage\\Download\\Services\\DownloadActivityService;\nuse Jiminny\\Http\\Serializers\\JsonSerializer;\nuse Jiminny\\Http\\Transformers\\PlaybackPageTransformer;\nuse Jiminny\\Models\\User;\nuse Jiminny\\Models;\nuse Jiminny\\Models\\Activity;\nuse Jiminny\\Models\\Track;\nuse Jiminny\\Services\\PlanhatService;\nuse Jiminny\\Services\\PlaybackService;\nuse JsonException;\nuse Spatie\\Fractal\\Fractal;\nuse Illuminate\\Support\\Facades\\Cookie;\n\nfinal class PlaybackController extends FrontendController\n{\n use AuthorizesRequests;\n\n public function __construct(\n private readonly PlaybackService $playbackService,\n private readonly DownloadActivityService $downloadActivityService,\n private readonly PlanhatService $planhatService,\n ) {\n }\n\n /**\n * @throws AuthorizationException\n * @throws JsonException\n */\n public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string\n {\n $this->authorize('view', $activity);\n\n /** @var User $user */\n $user = $request->user();\n\n $activityTypeCheck = in_array(\n $activity->type,\n [\n Activity::TYPE_CONFERENCE,\n Activity::TYPE_SOFTPHONE,\n Activity::TYPE_SOFTPHONE_INBOUND,\n ],\n true\n );\n\n abort_unless($activityTypeCheck, 404);\n\n $notificationId = $request->input('nId');\n if ($notificationId) {\n /** @var DatabaseNotification|null $notification */\n $notification = $user->unreadNotifications->where('id', $notificationId)->first();\n\n if ($notification) {\n $notification->markAsRead();\n }\n }\n\n $view = $request->input('view', 'page');\n\n $activity->loadMissing([\n 'questions.participant',\n 'participants.activity',\n 'topicTriggers',\n 'topicTriggers.participant',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',\n ]);\n\n $data = Fractal::create()\n ->item(\n $activity,\n $transformer->setConsumer($user)\n )\n ->serializeWith(new JsonSerializer())\n ->toArray();\n\n $data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);\n\n if (! isset($data['playbackData']['tracks'])) {\n $data['playbackData']['tracks'] = [];\n }\n\n /**\n * Sending 'playbackVisited' event to Planhat without slowing the\n * response to the user e.g. after the response is sent back.\n */\n defer(\n fn () => $this->planhatService->track(\n user: $user,\n event: 'playbackVisited',\n payload: [\n 'activityId' => $activity->getId(),\n 'activityUuid' => $activity->getUuid(),\n ]\n )\n )->always();\n\n return $this->render([\n 'playbackData' => [\n 'activity' => $data['playbackData'],\n 'favorited' => $data['favorited'],\n 'subscribed' => $data['subscribed'],\n 'view' => $view,\n ],\n ]);\n }\n\n private function getPreloadedPlaylist(Activity $activity): array\n {\n $masterPlaylist = [];\n $urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;\n\n $this->authorize('stream', $activity);\n\n $masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);\n $masterPlaylist['placeholder'] = $urlPlaceholder;\n $masterPlaylist['tracks'] = [];\n\n /** @var Models\\Track $track */\n foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {\n $mediaPlaylistPath = $this->mediaPlaylistPath($track);\n $masterPlaylist['tracks'][] = [\n 'id' => $track->getUuid(),\n 'path' => $mediaPlaylistPath,\n ];\n }\n\n return $masterPlaylist;\n }\n\n /**\n * @throws AuthorizationException\n */\n public function playlist(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);\n\n return response($masterPlaylist)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n /**\n * Generate a VTT \"Video Text Tracks\" file.\n *\n * @throws AuthorizationException\n */\n public function vtt(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $vtt = $this->playbackService->generateVtt($activity);\n\n return response($vtt)\n ->header('Content-Type', 'text/vtt;charset=utf-8');\n }\n\n /**\n * @throws AuthorizationException\n */\n public function media(Track $track): Response\n {\n $this->authorize('stream', $track->activity);\n\n $this->queueMediaCookies($track);\n\n $payload = $this->playbackService->generateMediaPlaylist($track);\n\n return response($payload)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n private function mediaPlaylistPath(Track $track): string\n {\n $this->queueMediaCookies($track);\n\n // @TODO return cdn when CORS is fixed\n // return client_cdn($track->content_path, $track->activity->user->team);\n return route('media', ['track' => $track->id_string]);\n }\n\n private function queueMediaCookies(Track $track): void\n {\n $keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;\n if (Cookie::has($keepAliveCookieName)) {\n return;\n }\n\n // Restrict segment URLs to the IP requesting it.\n $remoteIp = request()->ip();\n $cookies = $this->playbackService->generateCookies($track, $remoteIp);\n\n $keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;\n\n // Cookie is only valid for this particular stream path.\n $trackPath = '/' . preg_replace('/\\/[^\\/]+$/', '/', $track->content_path);\n $host = config('jiminny.client_cdn_signed_cookie_domain');\n\n // Queue up cookies to be able to be served secure track media.\n foreach ($cookies as $name => $cookie) {\n Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);\n }\n\n // Cookie is only valid for this particular activity.\n $paths = [\n route('activity.playback', $track->activity->id_string, false),\n route('media', ['track' => $track->id_string], false),\n ];\n foreach ($paths as $path) {\n Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);\n }\n }\n\n /**\n * Used by the Web app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function download(Activity $activity): RedirectResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Download failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return redirect($url);\n }\n\n /**\n * Used by the Mobile app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function getDownloadUrl(Activity $activity): JsonResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Getting signed url failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return new JsonResponse(\n ['activity_url' => $url],\n JsonResponse::HTTP_OK\n );\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.042220745,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"19","depth":4,"bounds":{"left":0.7124335,"top":0.10055866,"width":0.009640957,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"bounds":{"left":0.7237367,"top":0.09896249,"width":0.00731383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"bounds":{"left":0.73105055,"top":0.09896249,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","depth":4,"bounds":{"left":0.44481382,"top":0.09736632,"width":0.55518615,"height":0.8818835},"on_screen":true,"lines":[{"char_start":207,"char_count":30,"bounds":{"left":0.44481382,"top":0.0,"width":0.07513298,"height":0.014365523}},{"char_start":237,"char_count":36,"bounds":{"left":0.44481382,"top":0.0,"width":0.09075798,"height":0.014365523}},{"char_start":273,"char_count":32,"bounds":{"left":0.44481382,"top":0.0,"width":0.080119684,"height":0.014365523}},{"char_start":305,"char_count":79,"bounds":{"left":0.44481382,"top":0.0,"width":0.20212767,"height":0.014365523}},{"char_start":384,"char_count":18,"bounds":{"left":0.44481382,"top":0.0,"width":0.043882977,"height":0.014365523}},{"char_start":402,"char_count":21,"bounds":{"left":0.44481382,"top":0.0,"width":0.051861703,"height":0.014365523}},{"char_start":423,"char_count":48,"bounds":{"left":0.44481382,"top":0.008778931,"width":0.12167553,"height":0.014365523}},{"char_start":471,"char_count":72,"bounds":{"left":0.44481382,"top":0.026336791,"width":0.18384309,"height":0.014365523}},{"char_start":543,"char_count":40,"bounds":{"left":0.44481382,"top":0.043894652,"width":0.10106383,"height":0.014365523}},{"char_start":583,"char_count":41,"bounds":{"left":0.44481382,"top":0.061452515,"width":0.10372341,"height":0.014365523}},{"char_start":624,"char_count":72,"bounds":{"left":0.44481382,"top":0.079010375,"width":0.18384309,"height":0.014365523}},{"char_start":696,"char_count":219,"bounds":{"left":0.44481382,"top":0.096568234,"width":0.55518615,"height":0.014365523}},{"char_start":915,"char_count":83,"bounds":{"left":0.44481382,"top":0.11412609,"width":0.21243352,"height":0.014365523}},{"char_start":998,"char_count":20,"bounds":{"left":0.44481382,"top":0.13168396,"width":0.04920213,"height":0.014365523}},{"char_start":1018,"char_count":17,"bounds":{"left":0.44481382,"top":0.14924182,"width":0.041223403,"height":0.014365523}},{"char_start":1035,"char_count":203,"bounds":{"left":0.44481382,"top":0.16679968,"width":0.52360374,"height":0.014365523}},{"char_start":1238,"char_count":22,"bounds":{"left":0.44481382,"top":0.18435754,"width":0.05418883,"height":0.014365523}},{"char_start":1260,"char_count":23,"bounds":{"left":0.44481382,"top":0.2019154,"width":0.056848403,"height":0.014365523}},{"char_start":1283,"char_count":10,"bounds":{"left":0.44481382,"top":0.21947326,"width":0.023271276,"height":0.014365523}},{"char_start":1293,"char_count":27,"bounds":{"left":0.44481382,"top":0.23703113,"width":0.06715426,"height":0.014365523}},{"char_start":1320,"char_count":26,"bounds":{"left":0.44481382,"top":0.254589,"width":0.06482713,"height":0.014365523}},{"char_start":1346,"char_count":23,"bounds":{"left":0.44481382,"top":0.27214685,"width":0.056848403,"height":0.014365523}},{"char_start":1369,"char_count":28,"bounds":{"left":0.44481382,"top":0.2897047,"width":0.06981383,"height":0.014365523}},{"char_start":1397,"char_count":57,"bounds":{"left":0.44481382,"top":0.30726257,"width":0.14494681,"height":0.014365523}}],"value":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"bounds":{"left":0.011968086,"top":0.047885075,"width":0.024268618,"height":0.024740623},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directory…","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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<?php
namespace Jiminny\Http\Controllers;
use Illuminate\Foundation\Auth\Access\AuthorizesRequests;
use Illuminate\Http\RedirectResponse;
use Illuminate\Auth\Access\AuthorizationException;
use Illuminate\Http\JsonResponse;
use Illuminate\Http\Request;
use Illuminate\Http\Response;
use Illuminate\Notifications\DatabaseNotification;
use Illuminate\Support\Facades\Log;
use Jiminny\Component\PlaybackPage\Download\Services\DownloadActivityService;
use Jiminny\Http\Serializers\JsonSerializer;
use Jiminny\Http\Transformers\PlaybackPageTransformer;
use Jiminny\Models\User;
use Jiminny\Models;
use Jiminny\Models\Activity;
use Jiminny\Models\Track;
use Jiminny\Services\PlanhatService;
use Jiminny\Services\PlaybackService;
use JsonException;
use Spatie\Fractal\Fractal;
use Illuminate\Support\Facades\Cookie;
final class PlaybackController extends FrontendController
{
use AuthorizesRequests;
public function __construct(
private readonly PlaybackService $playbackService,
private readonly DownloadActivityService $downloadActivityService,
private readonly PlanhatService $planhatService,
) {
}
/**
* @throws AuthorizationException
* @throws JsonException
*/
public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string
{
$this->authorize('view', $activity);
/** @var User $user */
$user = $request->user();
$activityTypeCheck = in_array(
$activity->type,
[
Activity::TYPE_CONFERENCE,
Activity::TYPE_SOFTPHONE,
Activity::TYPE_SOFTPHONE_INBOUND,
],
true
);
abort_unless($activityTypeCheck, 404);
$notificationId = $request->input('nId');
if ($notificationId) {
/** @var DatabaseNotification|null $notification */
$notification = $user->unreadNotifications->where('id', $notificationId)->first();
if ($notification) {
$notification->markAsRead();
}
}
$view = $request->input('view', 'page');
$activity->loadMissing([
'questions.participant',
'participants.activity',
'topicTriggers',
'topicTriggers.participant',
'topicTriggers.playbackThemeTopicTrigger',
'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',
]);
$data = Fractal::create()
->item(
$activity,
$transformer->setConsumer($user)
)
->serializeWith(new JsonSerializer())
->toArray();
$data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);
if (! isset($data['playbackData']['tracks'])) {
$data['playbackData']['tracks'] = [];
}
/**
* Sending 'playbackVisited' event to Planhat without slowing the
* response to the user e.g. after the response is sent back.
*/
defer(
fn () => $this->planhatService->track(
user: $user,
event: 'playbackVisited',
payload: [
'activityId' => $activity->getId(),
'activityUuid' => $activity->getUuid(),
]
)
)->always();
return $this->render([
'playbackData' => [
'activity' => $data['playbackData'],
'favorited' => $data['favorited'],
'subscribed' => $data['subscribed'],
'view' => $view,
],
]);
}
private function getPreloadedPlaylist(Activity $activity): array
{
$masterPlaylist = [];
$urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;
$this->authorize('stream', $activity);
$masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);
$masterPlaylist['placeholder'] = $urlPlaceholder;
$masterPlaylist['tracks'] = [];
/** @var Models\Track $track */
foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {
$mediaPlaylistPath = $this->mediaPlaylistPath($track);
$masterPlaylist['tracks'][] = [
'id' => $track->getUuid(),
'path' => $mediaPlaylistPath,
];
}
return $masterPlaylist;
}
/**
* @throws AuthorizationException
*/
public function playlist(Activity $activity): Response
{
$this->authorize('stream', $activity);
$masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);
return response($masterPlaylist)
->header('Content-Type', 'application/x-mpegURL');
}
/**
* Generate a VTT "Video Text Tracks" file.
*
* @throws AuthorizationException
*/
public function vtt(Activity $activity): Response
{
$this->authorize('stream', $activity);
$vtt = $this->playbackService->generateVtt($activity);
return response($vtt)
->header('Content-Type', 'text/vtt;charset=utf-8');
}
/**
* @throws AuthorizationException
*/
public function media(Track $track): Response
{
$this->authorize('stream', $track->activity);
$this->queueMediaCookies($track);
$payload = $this->playbackService->generateMediaPlaylist($track);
return response($payload)
->header('Content-Type', 'application/x-mpegURL');
}
private function mediaPlaylistPath(Track $track): string
{
$this->queueMediaCookies($track);
// @TODO return cdn when CORS is fixed
// return client_cdn($track->content_path, $track->activity->user->team);
return route('media', ['track' => $track->id_string]);
}
private function queueMediaCookies(Track $track): void
{
$keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;
if (Cookie::has($keepAliveCookieName)) {
return;
}
// Restrict segment URLs to the IP requesting it.
$remoteIp = request()->ip();
$cookies = $this->playbackService->generateCookies($track, $remoteIp);
$keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;
// Cookie is only valid for this particular stream path.
$trackPath = '/' . preg_replace('/\/[^\/]+$/', '/', $track->content_path);
$host = config('jiminny.client_cdn_signed_cookie_domain');
// Queue up cookies to be able to be served secure track media.
foreach ($cookies as $name => $cookie) {
Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);
}
// Cookie is only valid for this particular activity.
$paths = [
route('activity.playback', $track->activity->id_string, false),
route('media', ['track' => $track->id_string], false),
];
foreach ($paths as $path) {
Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);
}
}
/**
* Used by the Web app to download the activity.
*
* @throws AuthorizationException
*/
public function download(Activity $activity): RedirectResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Download failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return redirect($url);
}
/**
* Used by the Mobile app to download the activity.
*
* @throws AuthorizationException
*/
public function getDownloadUrl(Activity $activity): JsonResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Getting signed url failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return new JsonResponse(
['activity_url' => $url],
JsonResponse::HTTP_OK
);
}
}
Sync Changes
Hide This Notification
Code changed:
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
HandleHubspotRateLimitTest
Run 'HandleHubspotRateLimitTest'
Debug 'HandleHubspotRateLimitTest'
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JetBrains AI
Search Everywhere
IDE and Project Settings
Code changed:
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<?php
namespace Jiminny\Http\Controllers;
use Illuminate\Foundation\Auth\Access\AuthorizesRequests;
use Illuminate\Http\RedirectResponse;
use Illuminate\Auth\Access\AuthorizationException;
use Illuminate\Http\JsonResponse;
use Illuminate\Http\Request;
use Illuminate\Http\Response;
use Illuminate\Notifications\DatabaseNotification;
use Illuminate\Support\Facades\Log;
use Jiminny\Component\PlaybackPage\Download\Services\DownloadActivityService;
use Jiminny\Http\Serializers\JsonSerializer;
use Jiminny\Http\Transformers\PlaybackPageTransformer;
use Jiminny\Models\User;
use Jiminny\Models;
use Jiminny\Models\Activity;
use Jiminny\Models\Track;
use Jiminny\Services\PlanhatService;
use Jiminny\Services\PlaybackService;
use JsonException;
use Spatie\Fractal\Fractal;
use Illuminate\Support\Facades\Cookie;
final class PlaybackController extends FrontendController
{
use AuthorizesRequests;
public function __construct(
private readonly PlaybackService $playbackService,
private readonly DownloadActivityService $downloadActivityService,
private readonly PlanhatService $planhatService,
) {
}
/**
* @throws AuthorizationException
* @throws JsonException
*/
public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string
{
$this->authorize('view', $activity);
/** @var User $user */
$user = $request->user();
$activityTypeCheck = in_array(
$activity->type,
[
Activity::TYPE_CONFERENCE,
Activity::TYPE_SOFTPHONE,
Activity::TYPE_SOFTPHONE_INBOUND,
],
true
);
abort_unless($activityTypeCheck, 404);
$notificationId = $request->input('nId');
if ($notificationId) {
/** @var DatabaseNotification|null $notification */
$notification = $user->unreadNotifications->where('id', $notificationId)->first();
if ($notification) {
$notification->markAsRead();
}
}
$view = $request->input('view', 'page');
$activity->loadMissing([
'questions.participant',
'participants.activity',
'topicTriggers',
'topicTriggers.participant',
'topicTriggers.playbackThemeTopicTrigger',
'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',
]);
$data = Fractal::create()
->item(
$activity,
$transformer->setConsumer($user)
)
->serializeWith(new JsonSerializer())
->toArray();
$data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);
if (! isset($data['playbackData']['tracks'])) {
$data['playbackData']['tracks'] = [];
}
/**
* Sending 'playbackVisited' event to Planhat without slowing the
* response to the user e.g. after the response is sent back.
*/
defer(
fn () => $this->planhatService->track(
user: $user,
event: 'playbackVisited',
payload: [
'activityId' => $activity->getId(),
'activityUuid' => $activity->getUuid(),
]
)
)->always();
return $this->render([
'playbackData' => [
'activity' => $data['playbackData'],
'favorited' => $data['favorited'],
'subscribed' => $data['subscribed'],
'view' => $view,
],
]);
}
private function getPreloadedPlaylist(Activity $activity): array
{
$masterPlaylist = [];
$urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;
$this->authorize('stream', $activity);
$masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);
$masterPlaylist['placeholder'] = $urlPlaceholder;
$masterPlaylist['tracks'] = [];
/** @var Models\Track $track */
foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {
$mediaPlaylistPath = $this->mediaPlaylistPath($track);
$masterPlaylist['tracks'][] = [
'id' => $track->getUuid(),
'path' => $mediaPlaylistPath,
];
}
return $masterPlaylist;
}
/**
* @throws AuthorizationException
*/
public function playlist(Activity $activity): Response
{
$this->authorize('stream', $activity);
$masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);
return response($masterPlaylist)
->header('Content-Type', 'application/x-mpegURL');
}
/**
* Generate a VTT "Video Text Tracks" file.
*
* @throws AuthorizationException
*/
public function vtt(Activity $activity): Response
{
$this->authorize('stream', $activity);
$vtt = $this->playbackService->generateVtt($activity);
return response($vtt)
->header('Content-Type', 'text/vtt;charset=utf-8');
}
/**
* @throws AuthorizationException
*/
public function media(Track $track): Response
{
$this->authorize('stream', $track->activity);
$this->queueMediaCookies($track);
$payload = $this->playbackService->generateMediaPlaylist($track);
return response($payload)
->header('Content-Type', 'application/x-mpegURL');
}
private function mediaPlaylistPath(Track $track): string
{
$this->queueMediaCookies($track);
// @TODO return cdn when CORS is fixed
// return client_cdn($track->content_path, $track->activity->user->team);
return route('media', ['track' => $track->id_string]);
}
private function queueMediaCookies(Track $track): void
{
$keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;
if (Cookie::has($keepAliveCookieName)) {
return;
}
// Restrict segment URLs to the IP requesting it.
$remoteIp = request()->ip();
$cookies = $this->playbackService->generateCookies($track, $remoteIp);
$keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;
// Cookie is only valid for this particular stream path.
$trackPath = '/' . preg_replace('/\/[^\/]+$/', '/', $track->content_path);
$host = config('jiminny.client_cdn_signed_cookie_domain');
// Queue up cookies to be able to be served secure track media.
foreach ($cookies as $name => $cookie) {
Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);
}
// Cookie is only valid for this particular activity.
$paths = [
route('activity.playback', $track->activity->id_string, false),
route('media', ['track' => $track->id_string], false),
];
foreach ($paths as $path) {
Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);
}
}
/**
* Used by the Web app to download the activity.
*
* @throws AuthorizationException
*/
public function download(Activity $activity): RedirectResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Download failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return redirect($url);
}
/**
* Used by the Mobile app to download the activity.
*
* @throws AuthorizationException
*/
public function getDownloadUrl(Activity $activity): JsonResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Getting signed url failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return new JsonResponse(
['activity_url' => $url],
JsonResponse::HTTP_OK
);
}
}
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Code changed:
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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Jiminny\\Services\\PlanhatService;\nuse Jiminny\\Services\\PlaybackService;\nuse JsonException;\nuse Spatie\\Fractal\\Fractal;\nuse Illuminate\\Support\\Facades\\Cookie;\n\nfinal class PlaybackController extends FrontendController\n{\n use AuthorizesRequests;\n\n public function __construct(\n private readonly PlaybackService $playbackService,\n private readonly DownloadActivityService $downloadActivityService,\n private readonly PlanhatService $planhatService,\n ) {\n }\n\n /**\n * @throws AuthorizationException\n * @throws JsonException\n */\n public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string\n {\n $this->authorize('view', $activity);\n\n /** @var User $user */\n $user = $request->user();\n\n $activityTypeCheck = in_array(\n $activity->type,\n [\n Activity::TYPE_CONFERENCE,\n Activity::TYPE_SOFTPHONE,\n Activity::TYPE_SOFTPHONE_INBOUND,\n ],\n true\n );\n\n abort_unless($activityTypeCheck, 404);\n\n $notificationId = $request->input('nId');\n if ($notificationId) {\n /** @var DatabaseNotification|null $notification */\n $notification = $user->unreadNotifications->where('id', $notificationId)->first();\n\n if ($notification) {\n $notification->markAsRead();\n }\n }\n\n $view = $request->input('view', 'page');\n\n $activity->loadMissing([\n 'questions.participant',\n 'participants.activity',\n 'topicTriggers',\n 'topicTriggers.participant',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',\n ]);\n\n $data = Fractal::create()\n ->item(\n $activity,\n $transformer->setConsumer($user)\n )\n ->serializeWith(new JsonSerializer())\n ->toArray();\n\n $data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);\n\n if (! isset($data['playbackData']['tracks'])) {\n $data['playbackData']['tracks'] = [];\n }\n\n /**\n * Sending 'playbackVisited' event to Planhat without slowing the\n * response to the user e.g. after the response is sent back.\n */\n defer(\n fn () => $this->planhatService->track(\n user: $user,\n event: 'playbackVisited',\n payload: [\n 'activityId' => $activity->getId(),\n 'activityUuid' => $activity->getUuid(),\n ]\n )\n )->always();\n\n return $this->render([\n 'playbackData' => [\n 'activity' => $data['playbackData'],\n 'favorited' => $data['favorited'],\n 'subscribed' => $data['subscribed'],\n 'view' => $view,\n ],\n ]);\n }\n\n private function getPreloadedPlaylist(Activity $activity): array\n {\n $masterPlaylist = [];\n $urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;\n\n $this->authorize('stream', $activity);\n\n $masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);\n $masterPlaylist['placeholder'] = $urlPlaceholder;\n $masterPlaylist['tracks'] = [];\n\n /** @var Models\\Track $track */\n foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {\n $mediaPlaylistPath = $this->mediaPlaylistPath($track);\n $masterPlaylist['tracks'][] = [\n 'id' => $track->getUuid(),\n 'path' => $mediaPlaylistPath,\n ];\n }\n\n return $masterPlaylist;\n }\n\n /**\n * @throws AuthorizationException\n */\n public function playlist(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);\n\n return response($masterPlaylist)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n /**\n * Generate a VTT \"Video Text Tracks\" file.\n *\n * @throws AuthorizationException\n */\n public function vtt(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $vtt = $this->playbackService->generateVtt($activity);\n\n return response($vtt)\n ->header('Content-Type', 'text/vtt;charset=utf-8');\n }\n\n /**\n * @throws AuthorizationException\n */\n public function media(Track $track): Response\n {\n $this->authorize('stream', $track->activity);\n\n $this->queueMediaCookies($track);\n\n $payload = $this->playbackService->generateMediaPlaylist($track);\n\n return response($payload)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n private function mediaPlaylistPath(Track $track): string\n {\n $this->queueMediaCookies($track);\n\n // @TODO return cdn when CORS is fixed\n // return client_cdn($track->content_path, $track->activity->user->team);\n return route('media', ['track' => $track->id_string]);\n }\n\n private function queueMediaCookies(Track $track): void\n {\n $keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;\n if (Cookie::has($keepAliveCookieName)) {\n return;\n }\n\n // Restrict segment URLs to the IP requesting it.\n $remoteIp = request()->ip();\n $cookies = $this->playbackService->generateCookies($track, $remoteIp);\n\n $keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;\n\n // Cookie is only valid for this particular stream path.\n $trackPath = '/' . preg_replace('/\\/[^\\/]+$/', '/', $track->content_path);\n $host = config('jiminny.client_cdn_signed_cookie_domain');\n\n // Queue up cookies to be able to be served secure track media.\n foreach ($cookies as $name => $cookie) {\n Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);\n }\n\n // Cookie is only valid for this particular activity.\n $paths = [\n route('activity.playback', $track->activity->id_string, false),\n route('media', ['track' => $track->id_string], false),\n ];\n foreach ($paths as $path) {\n Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);\n }\n }\n\n /**\n * Used by the Web app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function download(Activity $activity): RedirectResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Download failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return redirect($url);\n }\n\n /**\n * Used by the Mobile app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function getDownloadUrl(Activity $activity): JsonResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Getting signed url failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return new JsonResponse(\n ['activity_url' => $url],\n JsonResponse::HTTP_OK\n );\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\nnamespace Jiminny\\Http\\Controllers;\n\nuse Illuminate\\Foundation\\Auth\\Access\\AuthorizesRequests;\nuse Illuminate\\Http\\RedirectResponse;\nuse Illuminate\\Auth\\Access\\AuthorizationException;\nuse Illuminate\\Http\\JsonResponse;\nuse Illuminate\\Http\\Request;\nuse Illuminate\\Http\\Response;\nuse Illuminate\\Notifications\\DatabaseNotification;\nuse Illuminate\\Support\\Facades\\Log;\nuse Jiminny\\Component\\PlaybackPage\\Download\\Services\\DownloadActivityService;\nuse Jiminny\\Http\\Serializers\\JsonSerializer;\nuse Jiminny\\Http\\Transformers\\PlaybackPageTransformer;\nuse Jiminny\\Models\\User;\nuse Jiminny\\Models;\nuse Jiminny\\Models\\Activity;\nuse Jiminny\\Models\\Track;\nuse Jiminny\\Services\\PlanhatService;\nuse Jiminny\\Services\\PlaybackService;\nuse JsonException;\nuse Spatie\\Fractal\\Fractal;\nuse Illuminate\\Support\\Facades\\Cookie;\n\nfinal class PlaybackController extends FrontendController\n{\n use AuthorizesRequests;\n\n public function __construct(\n private readonly PlaybackService $playbackService,\n private readonly DownloadActivityService $downloadActivityService,\n private readonly PlanhatService $planhatService,\n ) {\n }\n\n /**\n * @throws AuthorizationException\n * @throws JsonException\n */\n public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string\n {\n $this->authorize('view', $activity);\n\n /** @var User $user */\n $user = $request->user();\n\n $activityTypeCheck = in_array(\n $activity->type,\n [\n Activity::TYPE_CONFERENCE,\n Activity::TYPE_SOFTPHONE,\n Activity::TYPE_SOFTPHONE_INBOUND,\n ],\n true\n );\n\n abort_unless($activityTypeCheck, 404);\n\n $notificationId = $request->input('nId');\n if ($notificationId) {\n /** @var DatabaseNotification|null $notification */\n $notification = $user->unreadNotifications->where('id', $notificationId)->first();\n\n if ($notification) {\n $notification->markAsRead();\n }\n }\n\n $view = $request->input('view', 'page');\n\n $activity->loadMissing([\n 'questions.participant',\n 'participants.activity',\n 'topicTriggers',\n 'topicTriggers.participant',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',\n ]);\n\n $data = Fractal::create()\n ->item(\n $activity,\n $transformer->setConsumer($user)\n )\n ->serializeWith(new JsonSerializer())\n ->toArray();\n\n $data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);\n\n if (! isset($data['playbackData']['tracks'])) {\n $data['playbackData']['tracks'] = [];\n }\n\n /**\n * Sending 'playbackVisited' event to Planhat without slowing the\n * response to the user e.g. after the response is sent back.\n */\n defer(\n fn () => $this->planhatService->track(\n user: $user,\n event: 'playbackVisited',\n payload: [\n 'activityId' => $activity->getId(),\n 'activityUuid' => $activity->getUuid(),\n ]\n )\n )->always();\n\n return $this->render([\n 'playbackData' => [\n 'activity' => $data['playbackData'],\n 'favorited' => $data['favorited'],\n 'subscribed' => $data['subscribed'],\n 'view' => $view,\n ],\n ]);\n }\n\n private function getPreloadedPlaylist(Activity $activity): array\n {\n $masterPlaylist = [];\n $urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;\n\n $this->authorize('stream', $activity);\n\n $masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);\n $masterPlaylist['placeholder'] = $urlPlaceholder;\n $masterPlaylist['tracks'] = [];\n\n /** @var Models\\Track $track */\n foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {\n $mediaPlaylistPath = $this->mediaPlaylistPath($track);\n $masterPlaylist['tracks'][] = [\n 'id' => $track->getUuid(),\n 'path' => $mediaPlaylistPath,\n ];\n }\n\n return $masterPlaylist;\n }\n\n /**\n * @throws AuthorizationException\n */\n public function playlist(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);\n\n return response($masterPlaylist)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n /**\n * Generate a VTT \"Video Text Tracks\" file.\n *\n * @throws AuthorizationException\n */\n public function vtt(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $vtt = $this->playbackService->generateVtt($activity);\n\n return response($vtt)\n ->header('Content-Type', 'text/vtt;charset=utf-8');\n }\n\n /**\n * @throws AuthorizationException\n */\n public function media(Track $track): Response\n {\n $this->authorize('stream', $track->activity);\n\n $this->queueMediaCookies($track);\n\n $payload = $this->playbackService->generateMediaPlaylist($track);\n\n return response($payload)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n private function mediaPlaylistPath(Track $track): string\n {\n $this->queueMediaCookies($track);\n\n // @TODO return cdn when CORS is fixed\n // return client_cdn($track->content_path, $track->activity->user->team);\n return route('media', ['track' => $track->id_string]);\n }\n\n private function queueMediaCookies(Track $track): void\n {\n $keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;\n if (Cookie::has($keepAliveCookieName)) {\n return;\n }\n\n // Restrict segment URLs to the IP requesting it.\n $remoteIp = request()->ip();\n $cookies = $this->playbackService->generateCookies($track, $remoteIp);\n\n $keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;\n\n // Cookie is only valid for this particular stream path.\n $trackPath = '/' . preg_replace('/\\/[^\\/]+$/', '/', $track->content_path);\n $host = config('jiminny.client_cdn_signed_cookie_domain');\n\n // Queue up cookies to be able to be served secure track media.\n foreach ($cookies as $name => $cookie) {\n Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);\n }\n\n // Cookie is only valid for this particular activity.\n $paths = [\n route('activity.playback', $track->activity->id_string, false),\n route('media', ['track' => $track->id_string], false),\n ];\n foreach ($paths as $path) {\n Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);\n }\n }\n\n /**\n * Used by the Web app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function download(Activity $activity): RedirectResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Download failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return redirect($url);\n }\n\n /**\n * Used by the Mobile app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function getDownloadUrl(Activity $activity): JsonResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Getting signed url failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return new JsonResponse(\n ['activity_url' => $url],\n JsonResponse::HTTP_OK\n );\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.042220745,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"19","depth":4,"bounds":{"left":0.7124335,"top":0.10055866,"width":0.009640957,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"bounds":{"left":0.7237367,"top":0.09896249,"width":0.00731383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"bounds":{"left":0.73105055,"top":0.09896249,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; 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includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"bounds":{"left":0.011968086,"top":0.047885075,"width":0.024268618,"height":0.024740623},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directory…","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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<?php
namespace Jiminny\Http\Controllers;
use Illuminate\Foundation\Auth\Access\AuthorizesRequests;
use Illuminate\Http\RedirectResponse;
use Illuminate\Auth\Access\AuthorizationException;
use Illuminate\Http\JsonResponse;
use Illuminate\Http\Request;
use Illuminate\Http\Response;
use Illuminate\Notifications\DatabaseNotification;
use Illuminate\Support\Facades\Log;
use Jiminny\Component\PlaybackPage\Download\Services\DownloadActivityService;
use Jiminny\Http\Serializers\JsonSerializer;
use Jiminny\Http\Transformers\PlaybackPageTransformer;
use Jiminny\Models\User;
use Jiminny\Models;
use Jiminny\Models\Activity;
use Jiminny\Models\Track;
use Jiminny\Services\PlanhatService;
use Jiminny\Services\PlaybackService;
use JsonException;
use Spatie\Fractal\Fractal;
use Illuminate\Support\Facades\Cookie;
final class PlaybackController extends FrontendController
{
use AuthorizesRequests;
public function __construct(
private readonly PlaybackService $playbackService,
private readonly DownloadActivityService $downloadActivityService,
private readonly PlanhatService $planhatService,
) {
}
/**
* @throws AuthorizationException
* @throws JsonException
*/
public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string
{
$this->authorize('view', $activity);
/** @var User $user */
$user = $request->user();
$activityTypeCheck = in_array(
$activity->type,
[
Activity::TYPE_CONFERENCE,
Activity::TYPE_SOFTPHONE,
Activity::TYPE_SOFTPHONE_INBOUND,
],
true
);
abort_unless($activityTypeCheck, 404);
$notificationId = $request->input('nId');
if ($notificationId) {
/** @var DatabaseNotification|null $notification */
$notification = $user->unreadNotifications->where('id', $notificationId)->first();
if ($notification) {
$notification->markAsRead();
}
}
$view = $request->input('view', 'page');
$activity->loadMissing([
'questions.participant',
'participants.activity',
'topicTriggers',
'topicTriggers.participant',
'topicTriggers.playbackThemeTopicTrigger',
'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',
]);
$data = Fractal::create()
->item(
$activity,
$transformer->setConsumer($user)
)
->serializeWith(new JsonSerializer())
->toArray();
$data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);
if (! isset($data['playbackData']['tracks'])) {
$data['playbackData']['tracks'] = [];
}
/**
* Sending 'playbackVisited' event to Planhat without slowing the
* response to the user e.g. after the response is sent back.
*/
defer(
fn () => $this->planhatService->track(
user: $user,
event: 'playbackVisited',
payload: [
'activityId' => $activity->getId(),
'activityUuid' => $activity->getUuid(),
]
)
)->always();
return $this->render([
'playbackData' => [
'activity' => $data['playbackData'],
'favorited' => $data['favorited'],
'subscribed' => $data['subscribed'],
'view' => $view,
],
]);
}
private function getPreloadedPlaylist(Activity $activity): array
{
$masterPlaylist = [];
$urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;
$this->authorize('stream', $activity);
$masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);
$masterPlaylist['placeholder'] = $urlPlaceholder;
$masterPlaylist['tracks'] = [];
/** @var Models\Track $track */
foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {
$mediaPlaylistPath = $this->mediaPlaylistPath($track);
$masterPlaylist['tracks'][] = [
'id' => $track->getUuid(),
'path' => $mediaPlaylistPath,
];
}
return $masterPlaylist;
}
/**
* @throws AuthorizationException
*/
public function playlist(Activity $activity): Response
{
$this->authorize('stream', $activity);
$masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);
return response($masterPlaylist)
->header('Content-Type', 'application/x-mpegURL');
}
/**
* Generate a VTT "Video Text Tracks" file.
*
* @throws AuthorizationException
*/
public function vtt(Activity $activity): Response
{
$this->authorize('stream', $activity);
$vtt = $this->playbackService->generateVtt($activity);
return response($vtt)
->header('Content-Type', 'text/vtt;charset=utf-8');
}
/**
* @throws AuthorizationException
*/
public function media(Track $track): Response
{
$this->authorize('stream', $track->activity);
$this->queueMediaCookies($track);
$payload = $this->playbackService->generateMediaPlaylist($track);
return response($payload)
->header('Content-Type', 'application/x-mpegURL');
}
private function mediaPlaylistPath(Track $track): string
{
$this->queueMediaCookies($track);
// @TODO return cdn when CORS is fixed
// return client_cdn($track->content_path, $track->activity->user->team);
return route('media', ['track' => $track->id_string]);
}
private function queueMediaCookies(Track $track): void
{
$keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;
if (Cookie::has($keepAliveCookieName)) {
return;
}
// Restrict segment URLs to the IP requesting it.
$remoteIp = request()->ip();
$cookies = $this->playbackService->generateCookies($track, $remoteIp);
$keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;
// Cookie is only valid for this particular stream path.
$trackPath = '/' . preg_replace('/\/[^\/]+$/', '/', $track->content_path);
$host = config('jiminny.client_cdn_signed_cookie_domain');
// Queue up cookies to be able to be served secure track media.
foreach ($cookies as $name => $cookie) {
Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);
}
// Cookie is only valid for this particular activity.
$paths = [
route('activity.playback', $track->activity->id_string, false),
route('media', ['track' => $track->id_string], false),
];
foreach ($paths as $path) {
Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);
}
}
/**
* Used by the Web app to download the activity.
*
* @throws AuthorizationException
*/
public function download(Activity $activity): RedirectResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Download failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return redirect($url);
}
/**
* Used by the Mobile app to download the activity.
*
* @throws AuthorizationException
*/
public function getDownloadUrl(Activity $activity): JsonResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Getting signed url failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return new JsonResponse(
['activity_url' => $url],
JsonResponse::HTTP_OK
);
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570141442_m2.jpg...
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TrackAvailable.php .../app/Events/Activities/Audio/TrackAvailable.php, class
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accessibility
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TrackAvailable.php .../app/Listeners/Activities/Audio/TrackAvailable.php, class
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TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Audio/TrackChannelsAnalyzedEvent.php, class
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Listeners/AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php
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InvitationTransformer.php.html build/coverage/Http/Transformers
IntegrationTransformer.php.html build/coverage/Http/Transformers
IntegrationConfigTrait.php.html build/coverage/Services/Activity/BaseService
IntegrationConfigTrait.php.html build/coverage/Services/Activity/BaseService/Config
InternationalNumberTransformer.php.html build/coverage/Http/Transformers
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InvitationTransformer.php .../app/Http/Transformers/InvitationTransformer.php, class
IntegrationTransformer.php .../app/Http/Transformers/IntegrationTransformer.php, class
InitiateTranscriptionEndpoint.php .../app/.../TranscriptionProcessor/Gladia/Endpoints/InitiateTranscriptionEndpoint.php, class
InitiateTranscriptionService.php .../app/.../TranscriptionProcessor/Gladia/Services/InitiateTranscriptionService.php, class
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IntegrationAppTrait.php .../app/Http/Controllers/Webhook/IntegrationAppSubscriptions/IntegrationAppTrait.php
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InvitationTransformer.php.html build/coverage/Http/Transformers
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2026-05-12T07:16:02.597726+00:00
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/Users/lukas/jiminny/app/app/Http/Controllers
/Users/lukas/jiminny/app/app/Events/Nudges
/Users/lukas/jiminny/app/app/Listeners/Nudges/UserPilot
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot
/Users/lukas/jiminny/app/app/Jobs/Middleware
/Users/lukas/jiminny/app/app/Listeners/AutomatedReports/UserPilot
/Users/lukas/jiminny/app/app/Jobs/Crm
/Users/lukas/jiminny/app/app/Services/Kiosk/AutomatedReports
/Users/lukas/jiminny/app/app/Jobs/Crm/Delete
/Users/lukas/jiminny/app/app/Listeners/Crm
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/ServiceTraits
/Users/lukas/jiminny/app/app/Exceptions
/Users/lukas/jiminny/app/app/Component/Queue/Job
/Users/lukas/jiminny/app/app/Events/Crm
/Users/lukas/jiminny/app/app/Jobs/AutomatedReports
/Users/lukas/jiminny/app/app/Listeners/Activities/Coaching/UserPilot
/Users/lukas/jiminny/app/app/Listeners/Activities/ActivityProvider/UserPilot
/Users/lukas/jiminny/app/app/Jobs/Activity/PushSummaryToCrm
/Users/lukas/jiminny/app/app/Repositories/Crm
/Users/lukas/jiminny/app/app/Http/Controllers/API/UserAutomatedReports
/Users/lukas/jiminny/app/app/Services/Crm/Salesforce
/Users/lukas/jiminny/app/app/Providers
/Users/lukas/jiminny/app/app/Services/Crm/IntegrationApp
/Users/lukas/jiminny/app/app/Events/Activities/Crm
/Users/lukas/jiminny/app/app/Listeners/Playbooks
/Users/lukas/jiminny/app/app/Console/Commands/Crm
/Users/lukas/jiminny/app/app/Services/Crm
/Users/lukas/jiminny/app/app/Console/Commands/Reports
/Users/lukas/jiminny/app/app/VO/Repository/OnDemandActivitySearch
/Users/lukas/jiminny/app/app/Listeners/Activities/Conferences/UserPilot
/Users/lukas/jiminny/app/app/Http/Controllers/Webhook
/Users/lukas/jiminny/app/resources/views/emails/reports
/Users/lukas/jiminny/app/app/Mail/Reports
/Users/lukas/jiminny/app/app/Repositories
/Users/lukas/jiminny/app/app/Component/ActivitySearch/Service
/Users/lukas/jiminny/app/tests/Unit/Services/Crm/Salesforce
/Users/lukas/jiminny/app/routes
/Users/lukas/jiminny/app/app/Console/Commands
/Users/lukas/jiminny/app/database/migrations
/Users/lukas/Library/Application Support/JetBrains/PhpStorm2026.1/consoles/db/325d461a-c90f-430a-99d4-6ddfce0c61d7
/Users/lukas/jiminny/app/app/Http/Controllers/API/V2
/Users/lukas/jiminny/app/app/Jobs/Crm/Hubspot
/Users/lukas/jiminny/app/app/Component/DealInsights
/Users/lukas/jiminny/app/app/Policies
/Users/lukas/jiminny/app/app/Services/Crm/Helpers
/Users/lukas/jiminny/app/app/Models
/Users/lukas/jiminny/app/app/Listeners/Teams
/Users/lukas/jiminny/app/app/Jobs/Crm/Salesforce
/Users/lukas/jiminny/app/app
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Journal
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/OpportunitySyncStrategy
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/Webhook
/Users/lukas/jiminny/app/storage/logs
/Users/lukas/jiminny/app
/Users/lukas/jiminny/app/app/Services/Internal
/Users/lukas/jiminny/app/app/Listeners/Transcription
/Users/lukas/jiminny/app/tests/Unit/Listeners/Teams
/Users/lukas/jiminny/app/app/Models/Crm
/Users/lukas/Library/Application Support/JetBrains/PhpStorm2026.1/consoles/db/91133dfa-8d71-4e12-bfb8-fec7f1afba8f
/Users/lukas/jiminny/app/app/Observers
/Users/lukas/jiminny/app/app/Services/Mail
/Users/lukas/jiminny/app/app/Console/Commands/Activities
/Users/lukas/jiminny/app/app/Console/Commands/Activities/Migrator
/Users/lukas/jiminny/app/tests/Unit/Services/Crm/Hubspot/ServiceTraits
/Users/lukas/jiminny/app/app/Jobs/User
/Users/lukas/jiminny/app/app/Models/Activity
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/Users/lukas/jiminny/app/app/Component/AiAutomation/Listeners/PendingAnalysis
/Users/lukas/jiminny/app/tests/Unit/Services/Crm/Hubspot
/Users/lukas/jiminny/app/app/Component/ActivitySearch/FilterDefinition/DealInsights
/Users/lukas/jiminny/app/app/Services/Crm/DecorateActivity
/Users/lukas/jiminny/app/app/Component/Activity/Event
/Users/lukas/jiminny/app/app/Component/Sidekick
/Users/lukas/jiminny/app/app/Listeners/Activities/Conferences...
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/Users/lukas/jiminny/app/app/Http/Controllers
/Users/lukas/jiminny/app/app/Http/Controllers
/Users/lukas/jiminny/app/app/Events/Nudges
/Users/lukas/jiminny/app/app/Listeners/Nudges/UserPilot
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot
/Users/lukas/jiminny/app/app/Jobs/Middleware
/Users/lukas/jiminny/app/app/Listeners/AutomatedReports/UserPilot
/Users/lukas/jiminny/app/app/Jobs/Crm
/Users/lukas/jiminny/app/app/Services/Kiosk/AutomatedReports
/Users/lukas/jiminny/app/app/Jobs/Crm/Delete
/Users/lukas/jiminny/app/app/Listeners/Crm
/Users/lukas/jiminny/app/app/Services/Crm/Hubspot/ServiceTraits
/Users/lukas/jiminny/app/app/Exceptions
/Users/lukas/jiminny/app/app/Component/Queue/Job
/Users/lukas/jiminny/app/app/Events/Crm
/Users/lukas/jiminny/app/app/Jobs/AutomatedReports
/Users/lukas/jiminny/app/app/Listeners/Activities/Coaching/UserPilot
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
HandleHubspotRateLimitTest
Run 'HandleHubspotRateLimitTest'
Debug 'HandleHubspotRateLimitTest'
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<?php
namespace Jiminny\Http\Controllers;
use Illuminate\Foundation\Auth\Access\AuthorizesRequests;
use Illuminate\Http\RedirectResponse;
use Illuminate\Auth\Access\AuthorizationException;
use Illuminate\Http\JsonResponse;
use Illuminate\Http\Request;
use Illuminate\Http\Response;
use Illuminate\Notifications\DatabaseNotification;
use Illuminate\Support\Facades\Log;
use Jiminny\Component\PlaybackPage\Download\Services\DownloadActivityService;
use Jiminny\Http\Serializers\JsonSerializer;
use Jiminny\Http\Transformers\PlaybackPageTransformer;
use Jiminny\Models\User;
use Jiminny\Models;
use Jiminny\Models\Activity;
use Jiminny\Models\Track;
use Jiminny\Services\PlanhatService;
use Jiminny\Services\PlaybackService;
use JsonException;
use Spatie\Fractal\Fractal;
use Illuminate\Support\Facades\Cookie;
final class PlaybackController extends FrontendController
{
use AuthorizesRequests;
public function __construct(
private readonly PlaybackService $playbackService,
private readonly DownloadActivityService $downloadActivityService,
private readonly PlanhatService $planhatService,
) {
}
/**
* @throws AuthorizationException
* @throws JsonException
*/
public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string
{
$this->authorize('view', $activity);
/** @var User $user */
$user = $request->user();
$activityTypeCheck = in_array(
$activity->type,
[
Activity::TYPE_CONFERENCE,
Activity::TYPE_SOFTPHONE,
Activity::TYPE_SOFTPHONE_INBOUND,
],
true
);
abort_unless($activityTypeCheck, 404);
$notificationId = $request->input('nId');
if ($notificationId) {
/** @var DatabaseNotification|null $notification */
$notification = $user->unreadNotifications->where('id', $notificationId)->first();
if ($notification) {
$notification->markAsRead();
}
}
$view = $request->input('view', 'page');
$activity->loadMissing([
'questions.participant',
'participants.activity',
'topicTriggers',
'topicTriggers.participant',
'topicTriggers.playbackThemeTopicTrigger',
'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',
]);
$data = Fractal::create()
->item(
$activity,
$transformer->setConsumer($user)
)
->serializeWith(new JsonSerializer())
->toArray();
$data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);
if (! isset($data['playbackData']['tracks'])) {
$data['playbackData']['tracks'] = [];
}
/**
* Sending 'playbackVisited' event to Planhat without slowing the
* response to the user e.g. after the response is sent back.
*/
defer(
fn () => $this->planhatService->track(
user: $user,
event: 'playbackVisited',
payload: [
'activityId' => $activity->getId(),
'activityUuid' => $activity->getUuid(),
]
)
)->always();
return $this->render([
'playbackData' => [
'activity' => $data['playbackData'],
'favorited' => $data['favorited'],
'subscribed' => $data['subscribed'],
'view' => $view,
],
]);
}
private function getPreloadedPlaylist(Activity $activity): array
{
$masterPlaylist = [];
$urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;
$this->authorize('stream', $activity);
$masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);
$masterPlaylist['placeholder'] = $urlPlaceholder;
$masterPlaylist['tracks'] = [];
/** @var Models\Track $track */
foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {
$mediaPlaylistPath = $this->mediaPlaylistPath($track);
$masterPlaylist['tracks'][] = [
'id' => $track->getUuid(),
'path' => $mediaPlaylistPath,
];
}
return $masterPlaylist;
}
/**
* @throws AuthorizationException
*/
public function playlist(Activity $activity): Response
{
$this->authorize('stream', $activity);
$masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);
return response($masterPlaylist)
->header('Content-Type', 'application/x-mpegURL');
}
/**
* Generate a VTT "Video Text Tracks" file.
*
* @throws AuthorizationException
*/
public function vtt(Activity $activity): Response
{
$this->authorize('stream', $activity);
$vtt = $this->playbackService->generateVtt($activity);
return response($vtt)
->header('Content-Type', 'text/vtt;charset=utf-8');
}
/**
* @throws AuthorizationException
*/
public function media(Track $track): Response
{
$this->authorize('stream', $track->activity);
$this->queueMediaCookies($track);
$payload = $this->playbackService->generateMediaPlaylist($track);
return response($payload)
->header('Content-Type', 'application/x-mpegURL');
}
private function mediaPlaylistPath(Track $track): string
{
$this->queueMediaCookies($track);
// @TODO return cdn when CORS is fixed
// return client_cdn($track->content_path, $track->activity->user->team);
return route('media', ['track' => $track->id_string]);
}
private function queueMediaCookies(Track $track): void
{
$keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;
if (Cookie::has($keepAliveCookieName)) {
return;
}
// Restrict segment URLs to the IP requesting it.
$remoteIp = request()->ip();
$cookies = $this->playbackService->generateCookies($track, $remoteIp);
$keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;
// Cookie is only valid for this particular stream path.
$trackPath = '/' . preg_replace('/\/[^\/]+$/', '/', $track->content_path);
$host = config('jiminny.client_cdn_signed_cookie_domain');
// Queue up cookies to be able to be served secure track media.
foreach ($cookies as $name => $cookie) {
Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);
}
// Cookie is only valid for this particular activity.
$paths = [
route('activity.playback', $track->activity->id_string, false),
route('media', ['track' => $track->id_string], false),
];
foreach ($paths as $path) {
Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);
}
}
/**
* Used by the Web app to download the activity.
*
* @throws AuthorizationException
*/
public function download(Activity $activity): RedirectResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Download failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return redirect($url);
}
/**
* Used by the Mobile app to download the activity.
*
* @throws AuthorizationException
*/
public function getDownloadUrl(Activity $activity): JsonResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Getting signed url failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return new JsonResponse(
['activity_url' => $url],
JsonResponse::HTTP_OK
);
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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Jiminny\\Services\\PlanhatService;\nuse Jiminny\\Services\\PlaybackService;\nuse JsonException;\nuse Spatie\\Fractal\\Fractal;\nuse Illuminate\\Support\\Facades\\Cookie;\n\nfinal class PlaybackController extends FrontendController\n{\n use AuthorizesRequests;\n\n public function __construct(\n private readonly PlaybackService $playbackService,\n private readonly DownloadActivityService $downloadActivityService,\n private readonly PlanhatService $planhatService,\n ) {\n }\n\n /**\n * @throws AuthorizationException\n * @throws JsonException\n */\n public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string\n {\n $this->authorize('view', $activity);\n\n /** @var User $user */\n $user = $request->user();\n\n $activityTypeCheck = in_array(\n $activity->type,\n [\n Activity::TYPE_CONFERENCE,\n Activity::TYPE_SOFTPHONE,\n Activity::TYPE_SOFTPHONE_INBOUND,\n ],\n true\n );\n\n abort_unless($activityTypeCheck, 404);\n\n $notificationId = $request->input('nId');\n if ($notificationId) {\n /** @var DatabaseNotification|null $notification */\n $notification = $user->unreadNotifications->where('id', $notificationId)->first();\n\n if ($notification) {\n $notification->markAsRead();\n }\n }\n\n $view = $request->input('view', 'page');\n\n $activity->loadMissing([\n 'questions.participant',\n 'participants.activity',\n 'topicTriggers',\n 'topicTriggers.participant',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',\n ]);\n\n $data = Fractal::create()\n ->item(\n $activity,\n $transformer->setConsumer($user)\n )\n ->serializeWith(new JsonSerializer())\n ->toArray();\n\n $data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);\n\n if (! isset($data['playbackData']['tracks'])) {\n $data['playbackData']['tracks'] = [];\n }\n\n /**\n * Sending 'playbackVisited' event to Planhat without slowing the\n * response to the user e.g. after the response is sent back.\n */\n defer(\n fn () => $this->planhatService->track(\n user: $user,\n event: 'playbackVisited',\n payload: [\n 'activityId' => $activity->getId(),\n 'activityUuid' => $activity->getUuid(),\n ]\n )\n )->always();\n\n return $this->render([\n 'playbackData' => [\n 'activity' => $data['playbackData'],\n 'favorited' => $data['favorited'],\n 'subscribed' => $data['subscribed'],\n 'view' => $view,\n ],\n ]);\n }\n\n private function getPreloadedPlaylist(Activity $activity): array\n {\n $masterPlaylist = [];\n $urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;\n\n $this->authorize('stream', $activity);\n\n $masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);\n $masterPlaylist['placeholder'] = $urlPlaceholder;\n $masterPlaylist['tracks'] = [];\n\n /** @var Models\\Track $track */\n foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {\n $mediaPlaylistPath = $this->mediaPlaylistPath($track);\n $masterPlaylist['tracks'][] = [\n 'id' => $track->getUuid(),\n 'path' => $mediaPlaylistPath,\n ];\n }\n\n return $masterPlaylist;\n }\n\n /**\n * @throws AuthorizationException\n */\n public function playlist(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);\n\n return response($masterPlaylist)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n /**\n * Generate a VTT \"Video Text Tracks\" file.\n *\n * @throws AuthorizationException\n */\n public function vtt(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $vtt = $this->playbackService->generateVtt($activity);\n\n return response($vtt)\n ->header('Content-Type', 'text/vtt;charset=utf-8');\n }\n\n /**\n * @throws AuthorizationException\n */\n public function media(Track $track): Response\n {\n $this->authorize('stream', $track->activity);\n\n $this->queueMediaCookies($track);\n\n $payload = $this->playbackService->generateMediaPlaylist($track);\n\n return response($payload)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n private function mediaPlaylistPath(Track $track): string\n {\n $this->queueMediaCookies($track);\n\n // @TODO return cdn when CORS is fixed\n // return client_cdn($track->content_path, $track->activity->user->team);\n return route('media', ['track' => $track->id_string]);\n }\n\n private function queueMediaCookies(Track $track): void\n {\n $keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;\n if (Cookie::has($keepAliveCookieName)) {\n return;\n }\n\n // Restrict segment URLs to the IP requesting it.\n $remoteIp = request()->ip();\n $cookies = $this->playbackService->generateCookies($track, $remoteIp);\n\n $keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;\n\n // Cookie is only valid for this particular stream path.\n $trackPath = '/' . preg_replace('/\\/[^\\/]+$/', '/', $track->content_path);\n $host = config('jiminny.client_cdn_signed_cookie_domain');\n\n // Queue up cookies to be able to be served secure track media.\n foreach ($cookies as $name => $cookie) {\n Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);\n }\n\n // Cookie is only valid for this particular activity.\n $paths = [\n route('activity.playback', $track->activity->id_string, false),\n route('media', ['track' => $track->id_string], false),\n ];\n foreach ($paths as $path) {\n Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);\n }\n }\n\n /**\n * Used by the Web app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function download(Activity $activity): RedirectResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Download failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return redirect($url);\n }\n\n /**\n * Used by the Mobile app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function getDownloadUrl(Activity $activity): JsonResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Getting signed url failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return new JsonResponse(\n ['activity_url' => $url],\n JsonResponse::HTTP_OK\n );\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\nnamespace Jiminny\\Http\\Controllers;\n\nuse Illuminate\\Foundation\\Auth\\Access\\AuthorizesRequests;\nuse Illuminate\\Http\\RedirectResponse;\nuse Illuminate\\Auth\\Access\\AuthorizationException;\nuse Illuminate\\Http\\JsonResponse;\nuse Illuminate\\Http\\Request;\nuse Illuminate\\Http\\Response;\nuse Illuminate\\Notifications\\DatabaseNotification;\nuse Illuminate\\Support\\Facades\\Log;\nuse Jiminny\\Component\\PlaybackPage\\Download\\Services\\DownloadActivityService;\nuse Jiminny\\Http\\Serializers\\JsonSerializer;\nuse Jiminny\\Http\\Transformers\\PlaybackPageTransformer;\nuse Jiminny\\Models\\User;\nuse Jiminny\\Models;\nuse Jiminny\\Models\\Activity;\nuse Jiminny\\Models\\Track;\nuse Jiminny\\Services\\PlanhatService;\nuse Jiminny\\Services\\PlaybackService;\nuse JsonException;\nuse Spatie\\Fractal\\Fractal;\nuse Illuminate\\Support\\Facades\\Cookie;\n\nfinal class PlaybackController extends FrontendController\n{\n use AuthorizesRequests;\n\n public function __construct(\n private readonly PlaybackService $playbackService,\n private readonly DownloadActivityService $downloadActivityService,\n private readonly PlanhatService $planhatService,\n ) {\n }\n\n /**\n * @throws AuthorizationException\n * @throws JsonException\n */\n public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string\n {\n $this->authorize('view', $activity);\n\n /** @var User $user */\n $user = $request->user();\n\n $activityTypeCheck = in_array(\n $activity->type,\n [\n Activity::TYPE_CONFERENCE,\n Activity::TYPE_SOFTPHONE,\n Activity::TYPE_SOFTPHONE_INBOUND,\n ],\n true\n );\n\n abort_unless($activityTypeCheck, 404);\n\n $notificationId = $request->input('nId');\n if ($notificationId) {\n /** @var DatabaseNotification|null $notification */\n $notification = $user->unreadNotifications->where('id', $notificationId)->first();\n\n if ($notification) {\n $notification->markAsRead();\n }\n }\n\n $view = $request->input('view', 'page');\n\n $activity->loadMissing([\n 'questions.participant',\n 'participants.activity',\n 'topicTriggers',\n 'topicTriggers.participant',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',\n ]);\n\n $data = Fractal::create()\n ->item(\n $activity,\n $transformer->setConsumer($user)\n )\n ->serializeWith(new JsonSerializer())\n ->toArray();\n\n $data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);\n\n if (! isset($data['playbackData']['tracks'])) {\n $data['playbackData']['tracks'] = [];\n }\n\n /**\n * Sending 'playbackVisited' event to Planhat without slowing the\n * response to the user e.g. after the response is sent back.\n */\n defer(\n fn () => $this->planhatService->track(\n user: $user,\n event: 'playbackVisited',\n payload: [\n 'activityId' => $activity->getId(),\n 'activityUuid' => $activity->getUuid(),\n ]\n )\n )->always();\n\n return $this->render([\n 'playbackData' => [\n 'activity' => $data['playbackData'],\n 'favorited' => $data['favorited'],\n 'subscribed' => $data['subscribed'],\n 'view' => $view,\n ],\n ]);\n }\n\n private function getPreloadedPlaylist(Activity $activity): array\n {\n $masterPlaylist = [];\n $urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;\n\n $this->authorize('stream', $activity);\n\n $masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);\n $masterPlaylist['placeholder'] = $urlPlaceholder;\n $masterPlaylist['tracks'] = [];\n\n /** @var Models\\Track $track */\n foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {\n $mediaPlaylistPath = $this->mediaPlaylistPath($track);\n $masterPlaylist['tracks'][] = [\n 'id' => $track->getUuid(),\n 'path' => $mediaPlaylistPath,\n ];\n }\n\n return $masterPlaylist;\n }\n\n /**\n * @throws AuthorizationException\n */\n public function playlist(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);\n\n return response($masterPlaylist)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n /**\n * Generate a VTT \"Video Text Tracks\" file.\n *\n * @throws AuthorizationException\n */\n public function vtt(Activity $activity): Response\n {\n $this->authorize('stream', $activity);\n\n $vtt = $this->playbackService->generateVtt($activity);\n\n return response($vtt)\n ->header('Content-Type', 'text/vtt;charset=utf-8');\n }\n\n /**\n * @throws AuthorizationException\n */\n public function media(Track $track): Response\n {\n $this->authorize('stream', $track->activity);\n\n $this->queueMediaCookies($track);\n\n $payload = $this->playbackService->generateMediaPlaylist($track);\n\n return response($payload)\n ->header('Content-Type', 'application/x-mpegURL');\n }\n\n private function mediaPlaylistPath(Track $track): string\n {\n $this->queueMediaCookies($track);\n\n // @TODO return cdn when CORS is fixed\n // return client_cdn($track->content_path, $track->activity->user->team);\n return route('media', ['track' => $track->id_string]);\n }\n\n private function queueMediaCookies(Track $track): void\n {\n $keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;\n if (Cookie::has($keepAliveCookieName)) {\n return;\n }\n\n // Restrict segment URLs to the IP requesting it.\n $remoteIp = request()->ip();\n $cookies = $this->playbackService->generateCookies($track, $remoteIp);\n\n $keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;\n\n // Cookie is only valid for this particular stream path.\n $trackPath = '/' . preg_replace('/\\/[^\\/]+$/', '/', $track->content_path);\n $host = config('jiminny.client_cdn_signed_cookie_domain');\n\n // Queue up cookies to be able to be served secure track media.\n foreach ($cookies as $name => $cookie) {\n Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);\n }\n\n // Cookie is only valid for this particular activity.\n $paths = [\n route('activity.playback', $track->activity->id_string, false),\n route('media', ['track' => $track->id_string], false),\n ];\n foreach ($paths as $path) {\n Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);\n }\n }\n\n /**\n * Used by the Web app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function download(Activity $activity): RedirectResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Download failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return redirect($url);\n }\n\n /**\n * Used by the Mobile app to download the activity.\n *\n * @throws AuthorizationException\n */\n public function getDownloadUrl(Activity $activity): JsonResponse\n {\n $this->authorize('download', $activity);\n\n try {\n $url = $this->downloadActivityService->generateDownloadUrl($activity);\n } catch (\\Throwable $e) {\n Log::info(\n __METHOD__ . ' Getting signed url failed.',\n ['activity' => $activity->getUuid(), 'message' => $e->getMessage()]\n );\n abort(404, $e->getMessage());\n }\n\n return new JsonResponse(\n ['activity_url' => $url],\n JsonResponse::HTTP_OK\n );\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.042220745,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"19","depth":4,"bounds":{"left":0.7124335,"top":0.10055866,"width":0.009640957,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"bounds":{"left":0.7237367,"top":0.09896249,"width":0.00731383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"bounds":{"left":0.73105055,"top":0.09896249,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; 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includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"bounds":{"left":0.011968086,"top":0.047885075,"width":0.024268618,"height":0.024740623},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directory…","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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<?php
namespace Jiminny\Http\Controllers;
use Illuminate\Foundation\Auth\Access\AuthorizesRequests;
use Illuminate\Http\RedirectResponse;
use Illuminate\Auth\Access\AuthorizationException;
use Illuminate\Http\JsonResponse;
use Illuminate\Http\Request;
use Illuminate\Http\Response;
use Illuminate\Notifications\DatabaseNotification;
use Illuminate\Support\Facades\Log;
use Jiminny\Component\PlaybackPage\Download\Services\DownloadActivityService;
use Jiminny\Http\Serializers\JsonSerializer;
use Jiminny\Http\Transformers\PlaybackPageTransformer;
use Jiminny\Models\User;
use Jiminny\Models;
use Jiminny\Models\Activity;
use Jiminny\Models\Track;
use Jiminny\Services\PlanhatService;
use Jiminny\Services\PlaybackService;
use JsonException;
use Spatie\Fractal\Fractal;
use Illuminate\Support\Facades\Cookie;
final class PlaybackController extends FrontendController
{
use AuthorizesRequests;
public function __construct(
private readonly PlaybackService $playbackService,
private readonly DownloadActivityService $downloadActivityService,
private readonly PlanhatService $planhatService,
) {
}
/**
* @throws AuthorizationException
* @throws JsonException
*/
public function show(Activity $activity, PlaybackPageTransformer $transformer, Request $request): array|string
{
$this->authorize('view', $activity);
/** @var User $user */
$user = $request->user();
$activityTypeCheck = in_array(
$activity->type,
[
Activity::TYPE_CONFERENCE,
Activity::TYPE_SOFTPHONE,
Activity::TYPE_SOFTPHONE_INBOUND,
],
true
);
abort_unless($activityTypeCheck, 404);
$notificationId = $request->input('nId');
if ($notificationId) {
/** @var DatabaseNotification|null $notification */
$notification = $user->unreadNotifications->where('id', $notificationId)->first();
if ($notification) {
$notification->markAsRead();
}
}
$view = $request->input('view', 'page');
$activity->loadMissing([
'questions.participant',
'participants.activity',
'topicTriggers',
'topicTriggers.participant',
'topicTriggers.playbackThemeTopicTrigger',
'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',
]);
$data = Fractal::create()
->item(
$activity,
$transformer->setConsumer($user)
)
->serializeWith(new JsonSerializer())
->toArray();
$data['playbackData']['masterPlaylist'] = $this->getPreloadedPlaylist($activity);
if (! isset($data['playbackData']['tracks'])) {
$data['playbackData']['tracks'] = [];
}
/**
* Sending 'playbackVisited' event to Planhat without slowing the
* response to the user e.g. after the response is sent back.
*/
defer(
fn () => $this->planhatService->track(
user: $user,
event: 'playbackVisited',
payload: [
'activityId' => $activity->getId(),
'activityUuid' => $activity->getUuid(),
]
)
)->always();
return $this->render([
'playbackData' => [
'activity' => $data['playbackData'],
'favorited' => $data['favorited'],
'subscribed' => $data['subscribed'],
'view' => $view,
],
]);
}
private function getPreloadedPlaylist(Activity $activity): array
{
$masterPlaylist = [];
$urlPlaceholder = PlaybackService::M3U8_TRACK_PLACEHOLDER;
$this->authorize('stream', $activity);
$masterPlaylist['m3u8'] = $this->playbackService->generateMasterPlaylist($activity, null, $urlPlaceholder);
$masterPlaylist['placeholder'] = $urlPlaceholder;
$masterPlaylist['tracks'] = [];
/** @var Models\Track $track */
foreach ($this->playbackService->getMasterPlaylistTracks($activity) as $track) {
$mediaPlaylistPath = $this->mediaPlaylistPath($track);
$masterPlaylist['tracks'][] = [
'id' => $track->getUuid(),
'path' => $mediaPlaylistPath,
];
}
return $masterPlaylist;
}
/**
* @throws AuthorizationException
*/
public function playlist(Activity $activity): Response
{
$this->authorize('stream', $activity);
$masterPlaylist = $this->playbackService->generateMasterPlaylist($activity);
return response($masterPlaylist)
->header('Content-Type', 'application/x-mpegURL');
}
/**
* Generate a VTT "Video Text Tracks" file.
*
* @throws AuthorizationException
*/
public function vtt(Activity $activity): Response
{
$this->authorize('stream', $activity);
$vtt = $this->playbackService->generateVtt($activity);
return response($vtt)
->header('Content-Type', 'text/vtt;charset=utf-8');
}
/**
* @throws AuthorizationException
*/
public function media(Track $track): Response
{
$this->authorize('stream', $track->activity);
$this->queueMediaCookies($track);
$payload = $this->playbackService->generateMediaPlaylist($track);
return response($payload)
->header('Content-Type', 'application/x-mpegURL');
}
private function mediaPlaylistPath(Track $track): string
{
$this->queueMediaCookies($track);
// @TODO return cdn when CORS is fixed
// return client_cdn($track->content_path, $track->activity->user->team);
return route('media', ['track' => $track->id_string]);
}
private function queueMediaCookies(Track $track): void
{
$keepAliveCookieName = 'Media-KeepAlive_' . $track->id_string;
if (Cookie::has($keepAliveCookieName)) {
return;
}
// Restrict segment URLs to the IP requesting it.
$remoteIp = request()->ip();
$cookies = $this->playbackService->generateCookies($track, $remoteIp);
$keepAliveDuration = PlaybackService::MEDIA_COOKIE_MINIMUM_DURATION / 60;
// Cookie is only valid for this particular stream path.
$trackPath = '/' . preg_replace('/\/[^\/]+$/', '/', $track->content_path);
$host = config('jiminny.client_cdn_signed_cookie_domain');
// Queue up cookies to be able to be served secure track media.
foreach ($cookies as $name => $cookie) {
Cookie::queue($name, $cookie, $keepAliveDuration, $trackPath, $host, true, true);
}
// Cookie is only valid for this particular activity.
$paths = [
route('activity.playback', $track->activity->id_string, false),
route('media', ['track' => $track->id_string], false),
];
foreach ($paths as $path) {
Cookie::queue($keepAliveCookieName, 1, $keepAliveDuration, $path, $host, true, true);
}
}
/**
* Used by the Web app to download the activity.
*
* @throws AuthorizationException
*/
public function download(Activity $activity): RedirectResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Download failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return redirect($url);
}
/**
* Used by the Mobile app to download the activity.
*
* @throws AuthorizationException
*/
public function getDownloadUrl(Activity $activity): JsonResponse
{
$this->authorize('download', $activity);
try {
$url = $this->downloadActivityService->generateDownloadUrl($activity);
} catch (\Throwable $e) {
Log::info(
__METHOD__ . ' Getting signed url failed.',
['activity' => $activity->getUuid(), 'message' => $e->getMessage()]
);
abort(404, $e->getMessage());
}
return new JsonResponse(
['activity_url' => $url],
JsonResponse::HTTP_OK
);
}
}
Sync Changes
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Code changed:
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Previous Highlighted Error
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
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22635
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975
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28
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2026-05-12T07:16:22.008981+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570182008_m2.jpg...
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Finder
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monitor_2
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NULL
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
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CRM
Orange
Red
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iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
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Blue
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data
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32 KB
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New Tab
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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devices","depth":6,"bounds":{"left":0.2682846,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open history (⇧⌘H)","depth":6,"bounds":{"left":0.27942154,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open bookmarks (⌘B)","depth":6,"bounds":{"left":0.29055852,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"AI Chat settings","depth":7,"bounds":{"left":0.42802528,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":7,"bounds":{"left":0.43999335,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"WORK, Google Account: lukas.kovalik@jiminny.com","depth":12,"bounds":{"left":0.43733376,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Main menu","depth":12,"bounds":{"left":0.32696143,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Chat","depth":12,"bounds":{"left":0.40940824,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open menu for conversation actions.","depth":12,"bounds":{"left":0.42270613,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Conversation with Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
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[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
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JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
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[JY-20776] Automated report - sentry - Jira
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JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
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Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
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are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. 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Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"bounds":{"left":0.3226396,"top":0.92098963,"width":0.043218084,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"bounds":{"left":0.32829124,"top":0.95730245,"width":0.053523935,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"bounds":{"left":0.33394283,"top":0.96249,"width":0.042220745,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Welcome back","depth":9,"bounds":{"left":0.48603722,"top":0.30526736,"width":0.14494681,"height":0.03830806},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Welcome back","depth":10,"bounds":{"left":0.48603722,"top":0.30925778,"width":0.070644945,"height":0.030726258},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Continue with Google","depth":9,"bounds":{"left":0.48603722,"top":0.3754988,"width":0.14494681,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Continue with Google","depth":11,"bounds":{"left":0.5398936,"top":0.38028732,"width":0.04454787,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Continue with SAML SSO","depth":9,"bounds":{"left":0.48603722,"top":0.40422985,"width":0.14494681,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Continue with SAML SSO","depth":11,"bounds":{"left":0.5362367,"top":0.40901837,"width":0.051861703,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":10,"bounds":{"left":0.55634975,"top":0.44014364,"width":0.0043218085,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Email","depth":10,"bounds":{"left":0.48603722,"top":0.46727854,"width":0.011136968,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXTextField","text":"you@example.com","depth":10,"bounds":{"left":0.49019283,"top":0.48643255,"width":0.13663563,"height":0.023942538},"on_screen":true,"help_text":"","placeholder":"you@example.com","role_description":"text field","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Password","depth":10,"bounds":{"left":0.48603722,"top":0.5215483,"width":0.020279255,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Forgot password?","depth":10,"bounds":{"left":0.5940825,"top":0.5215483,"width":0.036901597,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXTextField","text":"••••••","depth":10,"bounds":{"left":0.49019283,"top":0.54070234,"width":0.13663563,"height":0.023942538},"on_screen":true,"help_text":"","placeholder":"Password","role_description":"secure text field","subrole":"AXSecureTextField","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Log in","depth":9,"bounds":{"left":0.48603722,"top":0.57821226,"width":0.14494681,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Log in","depth":11,"bounds":{"left":0.5521942,"top":0.5830008,"width":0.012632979,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
Listen
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
Expand
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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Edit
You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
Listen
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text 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bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. 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LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. 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This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"bounds":{"left":0.3226396,"top":0.92098963,"width":0.043218084,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"bounds":{"left":0.32829124,"top":0.95730245,"width":0.053523935,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"bounds":{"left":0.33394283,"top":0.96249,"width":0.042220745,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Welcome back","depth":9,"bounds":{"left":0.48603722,"top":0.30526736,"width":0.14494681,"height":0.03830806},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Welcome back","depth":10,"bounds":{"left":0.48603722,"top":0.30925778,"width":0.070644945,"height":0.030726258},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Continue with Google Loading","depth":9,"bounds":{"left":0.48603722,"top":0.3754988,"width":0.14494681,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Continue with Google","depth":11,"bounds":{"left":0.5398936,"top":0.38028732,"width":0.04454787,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Continue with SAML SSO","depth":9,"bounds":{"left":0.48603722,"top":0.40422985,"width":0.14494681,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Continue with SAML SSO","depth":11,"bounds":{"left":0.5362367,"top":0.40901837,"width":0.051861703,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":10,"bounds":{"left":0.55634975,"top":0.44014364,"width":0.0043218085,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Email","depth":10,"bounds":{"left":0.48603722,"top":0.46727854,"width":0.011136968,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXTextField","text":"you@example.com","depth":10,"bounds":{"left":0.49019283,"top":0.48643255,"width":0.13663563,"height":0.023942538},"on_screen":true,"help_text":"","placeholder":"you@example.com","role_description":"text field","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Password","depth":10,"bounds":{"left":0.48603722,"top":0.5215483,"width":0.020279255,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Forgot password?","depth":10,"bounds":{"left":0.5940825,"top":0.5215483,"width":0.036901597,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXTextField","text":"••••••","depth":10,"bounds":{"left":0.49019283,"top":0.54070234,"width":0.13663563,"height":0.023942538},"on_screen":true,"help_text":"","placeholder":"Password","role_description":"secure text field","subrole":"AXSecureTextField","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Log in","depth":9,"bounds":{"left":0.48603722,"top":0.57821226,"width":0.14494681,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Log in","depth":11,"bounds":{"left":0.5521942,"top":0.5830008,"width":0.012632979,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
Listen
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. 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Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text 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Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new 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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
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are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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settings","depth":7,"bounds":{"left":0.42802528,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":7,"bounds":{"left":0.43999335,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"WORK, Google Account: lukas.kovalik@jiminny.com","depth":12,"bounds":{"left":0.43733376,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Main 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Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text 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bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. 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LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. 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This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"bounds":{"left":0.3226396,"top":0.92098963,"width":0.043218084,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"bounds":{"left":0.32829124,"top":0.95730245,"width":0.053523935,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"bounds":{"left":0.33394283,"top":0.96249,"width":0.042220745,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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(⌃X)","depth":6,"bounds":{"left":0.2571476,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Tabs from other devices","depth":6,"bounds":{"left":0.2682846,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open history (⇧⌘H)","depth":6,"bounds":{"left":0.27942154,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open bookmarks (⌘B)","depth":6,"bounds":{"left":0.29055852,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"AI Chat settings","depth":7,"bounds":{"left":0.42802528,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":7,"bounds":{"left":0.43999335,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"WORK, Google Account: lukas.kovalik@jiminny.com","depth":12,"bounds":{"left":0.43733376,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Main menu","depth":12,"bounds":{"left":0.32696143,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Chat","depth":12,"bounds":{"left":0.40940824,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open menu for conversation actions.","depth":12,"bounds":{"left":0.42270613,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Conversation with Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"bounds":{"left":0.3226396,"top":0.92098963,"width":0.043218084,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"bounds":{"left":0.32829124,"top":0.95730245,"width":0.053523935,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"bounds":{"left":0.33394283,"top":0.96249,"width":0.042220745,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Read apis.google.com","depth":5,"bounds":{"left":0.46010637,"top":0.9876297,"width":0.038397606,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"bounds":{"left":0.3226396,"top":0.92098963,"width":0.043218084,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"bounds":{"left":0.32829124,"top":0.95730245,"width":0.053523935,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"bounds":{"left":0.33394283,"top":0.96249,"width":0.042220745,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
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are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
Expand
Listen
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
Listen
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text 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bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. 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LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". 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Gemini is AI. 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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
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are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
Expand
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Julia from Planhat
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Improved Task dependencies in Workflows
Improved Task dependencies in Workflows
Introducing highly requested features for task dependencies within Workflows. These allow project management to better correspond with real-world delivery:
Tasks can have multiple dependencies, across phases
Dependent task dates automatically update when a parent task is moved
Dependent tasks are assigned dates when a workflow is applied
Read more in our
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Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. 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Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. 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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Improved Task dependencies in Workflows
Improved Task dependencies in Workflows
Introducing highly requested features for task dependencies within Workflows. These allow project management to better correspond with real-world delivery:
Tasks can have multiple dependencies, across phases
Dependent task dates automatically update when a parent task is moved
Dependent tasks are assigned dates when a workflow is applied
Read more in our
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570228126_m2.jpg...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Improved Task dependencies in Workflows
Improved Task dependencies in Workflows
Introducing highly requested features for task dependencies within Workflows. These allow project management to better correspond with real-world delivery:
Tasks can have multiple dependencies, across phases
Dependent task dates automatically update when a parent task is moved
Dependent tasks are assigned dates when a workflow is applied
Read more in our
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actions.","depth":12,"bounds":{"left":0.42270613,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Conversation with Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. 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Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text 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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Improved Task dependencies in Workflows
Improved Task dependencies in Workflows
Introducing highly requested features for task dependencies within Workflows. These allow project management to better correspond with real-world delivery:
Tasks can have multiple dependencies, across phases
Dependent task dates automatically update when a parent task is moved
Dependent tasks are assigned dates when a workflow is applied
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
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JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"bounds":{"left":0.3226396,"top":0.92098963,"width":0.043218084,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"bounds":{"left":0.32829124,"top":0.95730245,"width":0.053523935,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"bounds":{"left":0.33394283,"top":0.96249,"width":0.042220745,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"J J Jiminny","depth":8,"bounds":{"left":0.46409574,"top":0.058260176,"width":0.03474069,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"J","depth":11,"bounds":{"left":0.46758643,"top":0.07940942,"width":0.0023271276,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Jiminny","depth":9,"bounds":{"left":0.47539893,"top":0.06304868,"width":0.016123671,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Search Jiminny ⌘K","depth":9,"bounds":{"left":0.6296542,"top":0.058260176,"width":0.21143617,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Search Jiminny","depth":11,"bounds":{"left":0.6402925,"top":0.06304868,"width":0.031416222,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"⌘","depth":10,"bounds":{"left":0.82629657,"top":0.06344773,"width":0.0039893617,"height":0.011971269},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"K","depth":10,"bounds":{"left":0.8351064,"top":0.06344773,"width":0.0026595744,"height":0.011971269},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
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are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
Expand
Listen
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. 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Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"bounds":{"left":0.3226396,"top":0.92098963,"width":0.043218084,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"bounds":{"left":0.32829124,"top":0.95730245,"width":0.053523935,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"bounds":{"left":0.33394283,"top":0.96249,"width":0.042220745,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Welcome back","depth":9,"bounds":{"left":0.48603722,"top":0.30526736,"width":0.14494681,"height":0.03830806},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Welcome back","depth":10,"bounds":{"left":0.48603722,"top":0.30925778,"width":0.070644945,"height":0.030726258},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Continue with Google","depth":9,"bounds":{"left":0.48603722,"top":0.3754988,"width":0.14494681,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Continue with Google","depth":11,"bounds":{"left":0.5398936,"top":0.38028732,"width":0.04454787,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Continue with SAML SSO","depth":9,"bounds":{"left":0.48603722,"top":0.40422985,"width":0.14494681,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Continue with SAML SSO","depth":11,"bounds":{"left":0.5362367,"top":0.40901837,"width":0.051861703,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":10,"bounds":{"left":0.55634975,"top":0.44014364,"width":0.0043218085,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Email","depth":10,"bounds":{"left":0.48603722,"top":0.46727854,"width":0.011136968,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXTextField","text":"you@example.com","depth":10,"bounds":{"left":0.49019283,"top":0.48643255,"width":0.13663563,"height":0.023942538},"on_screen":true,"help_text":"","placeholder":"you@example.com","role_description":"text field","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Password","depth":10,"bounds":{"left":0.48603722,"top":0.5215483,"width":0.020279255,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Forgot password?","depth":10,"bounds":{"left":0.5940825,"top":0.5215483,"width":0.036901597,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXTextField","text":"••••••","depth":10,"bounds":{"left":0.49019283,"top":0.54070234,"width":0.13663563,"height":0.023942538},"on_screen":true,"help_text":"","placeholder":"Password","role_description":"secure text field","subrole":"AXSecureTextField","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Log in","depth":9,"bounds":{"left":0.48603722,"top":0.57821226,"width":0.14494681,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Log in","depth":11,"bounds":{"left":0.5521942,"top":0.5830008,"width":0.012632979,"height":0.0131683955},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
Listen
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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Pull requests · jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
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Pull requests · jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
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[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
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are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:...
|
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tab","depth":5,"bounds":{"left":0.31067154,"top":0.6049481,"width":0.007978723,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Tab","depth":4,"bounds":{"left":0.24617687,"top":0.632083,"width":0.07413564,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Customize sidebar","depth":6,"bounds":{"left":0.24617687,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Close Google Gemini (⌃X)","depth":6,"bounds":{"left":0.2571476,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Tabs from other devices","depth":6,"bounds":{"left":0.2682846,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open history (⇧⌘H)","depth":6,"bounds":{"left":0.27942154,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open bookmarks (⌘B)","depth":6,"bounds":{"left":0.29055852,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"AI Chat settings","depth":7,"bounds":{"left":0.42802528,"top":0.07741421,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":7,"bounds":{"left":0.43999335,"top":0.07741421,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"WORK, Google Account: lukas.kovalik@jiminny.com","depth":12,"bounds":{"left":0.43733376,"top":0.12609737,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Main menu","depth":12,"bounds":{"left":0.32696143,"top":0.12609737,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Chat","depth":12,"bounds":{"left":0.40940824,"top":0.12609737,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open menu for conversation actions.","depth":12,"bounds":{"left":0.42270613,"top":0.12609737,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Conversation with Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.16999201,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.17238627,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.20590582,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.21548285,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.21628092,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.21707901,"width":0.06648936,"height":0.78292096},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.3320032,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.21548285,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.34317636,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.34557062,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.38707104,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.38906625,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.39026338,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4517159,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.45331204,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.47964883,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.47964883,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.50159615,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.50039905,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.612929,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.612929,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.612929,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.612929,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.63367915,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.63367915,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.6544294,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.6544294,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.7047087,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.7047087,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.726656,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.7254589,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.858739,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.858739,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.98244214,"width":0.11502659,"height":0.01755786},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9840383,"width":0.08809841,"height":0.015961707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.046210106,"height":-0.010375142},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.09507979,"height":-0.010375142},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
Expand
Listen
Show thinking
Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
Listen
Show thinking
Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:...
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1pa
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[{"role":"AXTextField","text&# [{"role":"AXTextField","text":"1pa","depth":1,"on_screen":true,"value":"1pa","help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
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FirefoxcalVIewMistorbookmarksProtllesToolsWind 1pa
FirefoxcalVIewMistorbookmarksProtllesToolsWindowmelpFavouritesjiminny(®) AirDrop• RecentsA Applications|9 Documentsii lukasv 2026• Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4wu Daily 2026-05-08.mp4Iя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4us 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4nDaily 2026-04-22 mnлIcloud• iCloud Drive992 Svnc toldewn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dr Refinement 2026-04-20.mp4Locations0 DXP4800PLUS-B5F A49 Network• CRM• Orange• Red• YellowDally 4020-04-20.Mp4L Daily 2026-04-17.mo4ru Daily 2026-04-16.mp4wa Planning 2026-04-15.mp4Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4• Daily 2026-04-09.mp4Dailv 2026-04-08.mo4Daily 2026-04-07.mp4• Greer= Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4• Purple• All lags— Dally 2020-03-31.m04•: Refinement 2026-03-30.mo4m Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4• Refinement 2026-03-23.mp4-• Daily 2026-03-23.mp4• BE chaoter 2026-03-20.mo4• Daily 2026-03-20.mp4am Planing 2026-03-18-converted.mp4#. Refinement 2026-02-09-converted.mp4eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/ra 1-1 2026-03-12.mpDailv 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4xI Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4н лail aлe лe лe meлImport bookmarks... Sprint Board• SRD Queue- New Tab• Google GeminiJy 20820 es reindex stream modeJY-20725) HubSpot Optimise ©CJY-20725 add HS rate limit handli( Pipelines - jiminny/appPull requests • jiminny/app[JY-20773] User Pilot not receivin@ Jy-20773 fix user pilot tracking of4 [JY-20776] Automated report - seA TypeError: League\Flysystem\FilesTypeError: League\Flysystem|FilesPlatform Sprint 3 Q2 - Platform Te• JY-20625 | JY-20742 | MCP POC LG LLM pricing overview with the mo.Planhat• LoainNew Tab— New TabO Circle CI & PRODUS J StagingPull requests . limin.Workers | Datadog M Jiminny Mail Dashboards | Datad...mon oaoe"<tablitles.Y-20261: A66lca scores in ranorama oysteliyan-</tablitle> with"<selection>@@ -4,7 +4,7..Show thinking vHere is a summary of the changes in theprovided code diffAl Call Scorina Additions• Pre-computed Scores: Added strictinstructions to treat the ai call scoreas pre-computed data. Uhe system mustinterpret and summarize the providedscores rather than inventing olrecalculating them• Context Breakdown: * Short Context:Now displays the Al Scorecard name andthe overall Al Score (the average of per-rule scores).Full Context: Details theai call score obiect, breakinadown individual rules. Each ruleincludes a title, prompt, a 1-5 score, abrief justification, and up to threeO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini tAlcan mike micnkec co dolidle chockt Yolr orivaev domiinSummarize pageFirefoxG Search with Google or enter addressPlatform Sarint302-..liminntiminnylappInboy (1 620) -lukas.kovalik…liminnv"suppont Dally • In 4n 43 m100% Lz• Tue 12 May 10:17:181Y-20542 addlAJ reports.Mept - DailvPlattorm...
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TrassworeFavouritesjiminny@ Recents* Applications| TrassworeFavouritesjiminny@ Recents* Applications|9 Document.Icloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Network• CRMI• Orange• Red• Yellow• Greer• Purple|• All lags..CS0 Ma"suppont Dally • In 4n 43 m100% Lz• Tue 12 May 10:17:21VIewAccountsWindowheltv 2026• Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4a Daily 2026-05-08.nIя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4us 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dr Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Daily 2026-04-17.mp4ru Daily 2026-04-16.mp4wa Planning 2026-04-15.mp4. Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4• Daily 2026-04-09.mp4Dailv 2026-04-08.mo4Daily 2026-04-07.mp4=» Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4Dally 2020-03-31.mp4•: Refinement 2026-03-30.mo4m Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4• Refirment 2026-03-23.mp4-• Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4• Daily 2026-03-20.mp4am Planing 2026-03-18-converted.mp4#. Refinement 2026-02-09-converted.mp4eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/кы 1-1 2026-03-12.mр4Dailv 2026-03-12.mp4aa Daily 2026-03-11.mn/• Refinement 2026-03-09.mp4e Dailv 2026-03-09.mo4н лail aлe лe лe meлImport bookmarks... Sprint Board• SRD Queue- New Tab• Google GeminiJy 20820 es reindex stream modeO Circle CI & PRODUS J StagingPull requests. limin.Workers | Datadog M Jiminny Mail Dashboards | Datad...1Password1Password is trying to unlockTouch iD or enter [PASSWORD_FIELD] Account Pacsword.FirefoxEnter vour password1Password locked after 10 minutes of inactivityG Search with Google or enter addressPlatform Sarint302-..liminnviminnylappInboy (1 620) -lukas.kovalik…liminnv1Y-20542 addlAJ reports.Mept - DailvPlattormbrief justification, and up to threeO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini isAlcan mike micnkec co dolidle chockt Yolr orivaev domiinSummarize page...
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TrassworeFavouritesjiminny@ Recents* Applications| TrassworeFavouritesjiminny@ Recents* Applications|9 Document.Icloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Network• CRMI• Orange• Red• Yellow• Greer• Purple|• All lags..CS0 Ma"suppont Dally • In 4n 43 m100% Lz• Tue 12 May 10:17:21VIewAccountsWindowheltv 2026• Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4a Daily 2026-05-08.nIя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4us 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dr Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Daily 2026-04-17.mp4ru Daily 2026-04-16.mp4wa Planning 2026-04-15.mp4. Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4• Daily 2026-04-09.mp4Dailv 2026-04-08.mo4Daily 2026-04-07.mp4=» Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4Dally 2020-03-31.mp4•: Refinement 2026-03-30.mo4m Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4• Refirment 2026-03-23.mp4-• Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4• Daily 2026-03-20.mp4am Planing 2026-03-18-converted.mp4#. Refinement 2026-02-09-converted.mp4eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/кы 1-1 2026-03-12.mр4Dailv 2026-03-12.mp4aa Daily 2026-03-11.mn/• Refinement 2026-03-09.mp4e Dailv 2026-03-09.mo4н лail aлe лe лe meлImport bookmarks... Sprint Board• SRD Queue- New Tab• Google GeminiJy 20820 es reindex stream modeO Circle CI & PRODUS J StagingPull requests. limin.Workers | Datadog M Jiminny Mail Dashboards | Datad...1Password1Password is trying to unlockTouch iD or enter [PASSWORD_FIELD] Account Pacsword.FirefoxEnter vour password1Password locked after 10 minutes of inactivityG Search with Google or enter addressPlatform Sarint302-..liminnviminnylappInboy (1 620) -lukas.kovalik…liminnv1Y-20542 addlAJ reports.Mept - DailvPlattormbrief justification, and up to threeO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini isAlcan mike micnkec co dolidle chockt Yolr orivaev domiinSummarize page...
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TrassworoFavouritesjiminny• Recents* Applications9 TrassworoFavouritesjiminny• Recents* Applications9 DocumentsIcloud• iCloud Drive992 Svnc toldelLocations0 DXP4800PLUS-B5FA49 NetworkTags• CRM• Orange• Red• Yellow• Purple|• All lags.VIewAccountsWindowhelv 2026• Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4wu Daily 2026-05-08.mp4Iя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4us 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4nDaily 2026-04-22 mnлwn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dr Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Dailv 2026-04-17.mp4ru Daily 2026-04-16.mp4Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4• Daily 2026-04-09.mp4Daily 2026-04-07.mp4Daily 2026-04-06.mp4=Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4l: Retro 2026-03-31.mp4m Daily 2026-03-31.mp4: Refinement 2026-03-30.mo4m Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4• Refineiment 2026-03-23.mp4-• Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4• Daily 2026-03-20.mp4am Planing 2026-03-18-converted.mp4= Retinement 2026-02-09-converted.mo4)eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4• Planina 2026-03-18.mo4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4= Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/ra 1-1 2026-03-12.mp/Fa Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4xI Refinement 2026-03-09.mp4e Dailv 2026-03-09 mo4ta nailu bane na.ne mnлlJiminny¿ Profile-All Items? FavoritesWatchtower< DevelopenVAULTSo. =moloveeEngineeringIntearation Accounts7 JiminnyTAGSO 2FA• CSV Import 28.01.22(• LastPacs Imnort 111.21|oantervit••0 ШImport bookmarks... Sprint Board• SRD QueueO Circle CI & PROD USJ Staging- New Tab• Google GeminiJy 20820 es reindex stream modeeolanlheloNew Item= Planhat — [EMAIL] app-eu3.planhat.com20 results 1Shareo E[URL_WITH_CREDENTIALS] justification, and up to threeO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini tAlrcan mike micnkec co dolidle chocktYolr orivaev domiinSummarize page<S0 Ma"suppont Dally • In 4h 43 m100% Lz• Tue 12 May 10:17:24Workers | Datadog M Jiminny Mail & Dashboards | Datad..FirefoxG Search with Google or enter addressPlatform Sarint302 -..liminntiminnylappInboy (1 620) -lukas.kovalik…liminnv1Y-20542 addlAJ reports.Mept - DailvPlattorm...
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TrassworoFavouritesjiminny• Recents* Applications9 TrassworoFavouritesjiminny• Recents* Applications9 DocumentsIcloud• iCloud Drive992 Svnc toldelLocations0 DXP4800PLUS-B5FA49 NetworkTags• CRM• Orange• Red• Yellow• Purple|• All lags.VIewAccountsWindowhelv 2026• Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4wu Daily 2026-05-08.mp4Iя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4us 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4nDaily 2026-04-22 mnлwn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dr Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Dailv 2026-04-17.mp4ru Daily 2026-04-16.mp4Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4• Daily 2026-04-09.mp4Daily 2026-04-07.mp4Daily 2026-04-06.mp4=Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4l: Retro 2026-03-31.mp4m Daily 2026-03-31.mp4: Refinement 2026-03-30.mo4m Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4• Refineiment 2026-03-23.mp4-• Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4• Daily 2026-03-20.mp4am Planing 2026-03-18-converted.mp4= Retinement 2026-02-09-converted.mo4)eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4• Planina 2026-03-18.mo4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4= Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/ra 1-1 2026-03-12.mp/Fa Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4xI Refinement 2026-03-09.mp4e Dailv 2026-03-09 mo4ta nailu bane na.ne mnлlJiminny¿ Profile-All Items? FavoritesWatchtower< DevelopenVAULTSo. =moloveeEngineeringIntearation Accounts7 JiminnyTAGSO 2FA• CSV Import 28.01.22(• LastPacs Imnort 111.21|oantervit••0 ШImport bookmarks... Sprint Board• SRD QueueO Circle CI & PROD USJ Staging- New Tab• Google GeminiJy 20820 es reindex stream modeeolanlheloNew Item= Planhat — [EMAIL] app-eu3.planhat.com20 results 1Shareo E[URL_WITH_CREDENTIALS] justification, and up to threeO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini tAlrcan mike micnkec co dolidle chocktYolr orivaev domiinSummarize page<S0 Ma"suppont Dally • In 4h 43 m100% Lz• Tue 12 May 10:17:24Workers | Datadog M Jiminny Mail & Dashboards | Datad..FirefoxG Search with Google or enter addressPlatform Sarint302 -..liminntiminnylappInboy (1 620) -lukas.kovalik…liminnv1Y-20542 addlAJ reports.Mept - DailvPlattorm...
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TrassworoFavouritesjiminny• Recents* Applications9 TrassworoFavouritesjiminny• Recents* Applications9 Documentsii lukasIcloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 NetworkTags• CRM• Orange• Red• Yellow• Purple|• All lagsVIewAccountsWindowMelpv 2026• Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4a Daily 2026-05-08.nIя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4ws 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4nDaily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dr Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4L Daily 2026-04-17.mo4ru Daily 2026-04-16.mp4Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4• Daily 2026-04-09.mp4Daily 2026-04-07.mp4Daily 2026-04-06.mp4=Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4l: Retro 2026-03-31.mp4Daily 2026-03-31.mp4: Refinement 2026-03-30.mo4m Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4• Refineiment 2026-03-23.mp4-• Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4• Daily 2026-03-20.mp4am Planing 2026-03-18-converted.mp4_Retinement 2026-02-09-converted.mo4eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/ra 1-1 2026-03-12.mpFa Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4xI Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4tanailu bane na.ne mnllJiminny¿ Profile-All Items? FavoritesWatchtower< DevelopenVAULTSo. =moloveeEngineeringIntearation Accounts7 JiminnvTAGSO 2FA• CSV Import 28.01.22(• LastPacs Imnort 111.21.oantervi••0 ШImport bookmarks... Sprint Board• SRD QueueO Circle CI & PROD USJ Staging- New Tab• Google GeminiJy 20820 es reindex stream modeeolanhHeloNew Item= Planhat — [EMAIL] app-eu3.planhat.com20 results 1) Share0 Edit• Salestorce log in ([EMAIL]) - integration-accoun.• planh — Show all matching itemsasier and more secure thanMS Dynamics Pro [EMAIL] [EMAIL] transcription pa….FantasticMicrosoft transcription [URL_WITH_CREDENTIALS] justification, and up to three• Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini tAlcan mike micnkec co dolidle chockt Yolr orivaev domiinSummarize pageWorkers | Datadog M Jiminny Mail & Dashboards | Datad..Firefoxsearch with Gooqle or enter addressPlatform Sarint302-..liminntiminnylappInboy (1 620) -lukas.kovalik…liminnv"suppont Dally • In 4n 43m100% Lz• Tue 12 May 10:17:261Y-20542 addlAJ reports.Mept - DailvPlattorm...
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TrassworoFavouritesjiminny• Recents* Applications9 TrassworoFavouritesjiminny• Recents* Applications9 Documentsii lukasIcloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 NetworkTags• CRM• Orange• Red• Yellow• Purple|• All lagsVIewAccountsWindowMelpv 2026• Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4a Daily 2026-05-08.nIя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4ws 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4nDaily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dr Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4L Daily 2026-04-17.mo4ru Daily 2026-04-16.mp4Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4• Daily 2026-04-09.mp4Daily 2026-04-07.mp4Daily 2026-04-06.mp4=Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4l: Retro 2026-03-31.mp4Daily 2026-03-31.mp4: Refinement 2026-03-30.mo4m Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4• Refineiment 2026-03-23.mp4-• Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4• Daily 2026-03-20.mp4am Planing 2026-03-18-converted.mp4_Retinement 2026-02-09-converted.mo4eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/ra 1-1 2026-03-12.mpFa Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4xI Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4tanailu bane na.ne mnllJiminny¿ Profile-All Items? FavoritesWatchtower< DevelopenVAULTSo. =moloveeEngineeringIntearation Accounts7 JiminnvTAGSO 2FA• CSV Import 28.01.22(• LastPacs Imnort 111.21.oantervi••0 ШImport bookmarks... Sprint Board• SRD QueueO Circle CI & PROD USJ Staging- New Tab• Google GeminiJy 20820 es reindex stream modeeolanhHeloNew Item= Planhat — [EMAIL] app-eu3.planhat.com20 results 1) Share0 Edit• Salestorce log in ([EMAIL]) - integration-accoun.• planh — Show all matching itemsasier and more secure thanMS Dynamics Pro [EMAIL] [EMAIL] transcription pa….FantasticMicrosoft transcription [URL_WITH_CREDENTIALS] justification, and up to three• Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini tAlcan mike micnkec co dolidle chockt Yolr orivaev domiinSummarize pageWorkers | Datadog M Jiminny Mail & Dashboards | Datad..Firefoxsearch with Gooqle or enter addressPlatform Sarint302-..liminntiminnylappInboy (1 620) -lukas.kovalik…liminnv"suppont Dally • In 4n 43m100% Lz• Tue 12 May 10:17:261Y-20542 addlAJ reports.Mept - DailvPlattorm...
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TrassworeFavouritesjiminny• Recents* Applications| TrassworeFavouritesjiminny• Recents* Applications|9 DocumentsIcloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Network• CRM• Orange• Red• Yellow• Greer• Purple• All lags..VIewACCOUnTSWindowMelpv 2026• Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4a Daily 2026-05-08.mp4Iя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4ws 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4nDaily 2026-04-22 mnлwn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4D Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Daily 2026-04-17.mp4ru Daily 2026-04-16.mp4wa Planning 2026-04-15.mp4. Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4• Daily 2026-04-09.mp4Daily 2026-04-07.mp4Daily 2026-04-06.mp4= Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4l: Retro 2026-03-31.mp4Daily 2026-03-31.mp4•: Refinement 2026-03-30.mo4m Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4• Refineiment 2026-03-23.mp4-• Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4• Daily 2026-03-20.mp4am Planing 2026-03-18-converted.mp4#. Refinement 2026-02-09-converted.mp4eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/ra 1-1 2026-03-12.mpFa Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4xI Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4н лail aлe лe лe meл••0 ШImport bookmarks... Sprint Board• SRD Queue- New Tab• Google GeminiJy 20820 es reindex stream modee Search in Jiminnv2results for "olanh"PlannatSalesforce log in (planhat.i..O Circle CI & PRODUS J StagingHeloNew ItemU Shareo EditPull requests . limin…Workers | Datadog M Jiminny Mail Dashboards | Datad..Jiminny¿ Profile-All Items? FavoritesWatchtower< Developeno. =moloveeEngineeringIntearation Accounts7 JiminnyTAGSO 2FA• CSV Import 28.01.22(• LastPacs Imnort 111.21|oantervi2 Jiminnv(o) Emolovee [EMAIL]:/app-eus.olanhat.com•Last edited Wednescav. Juv 5. 2023 at 3:29:20 PMIGoodFirefoxG Search with Google or enter addressPlatform Sarint302-..liminnviminnylappInboy (1 620) -lukas.kovalik…liminnvbrief justification, and up to threeO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini isAlcan mike micnkec co dolidle chockt Yolr orivaev domiinSummarize page"suppont Dally • In 4n 43 m100% 2• Tue 12 May 10:17:271Y-20542 addlAJ reports.Mept - DailvPlattorm...
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TrassworeFavouritesjiminny• Recents* Applications| TrassworeFavouritesjiminny• Recents* Applications|9 DocumentsIcloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Network• CRM• Orange• Red• Yellow• Greer• Purple• All lags..VIewACCOUnTSWindowMelpv 2026• Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4a Daily 2026-05-08.mp4Iя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4ws 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4nDaily 2026-04-22 mnлwn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4D Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Daily 2026-04-17.mp4ru Daily 2026-04-16.mp4wa Planning 2026-04-15.mp4. Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4• Daily 2026-04-09.mp4Daily 2026-04-07.mp4Daily 2026-04-06.mp4= Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4l: Retro 2026-03-31.mp4Daily 2026-03-31.mp4•: Refinement 2026-03-30.mo4m Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4• Refineiment 2026-03-23.mp4-• Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4• Daily 2026-03-20.mp4am Planing 2026-03-18-converted.mp4#. Refinement 2026-02-09-converted.mp4eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/ra 1-1 2026-03-12.mpFa Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4xI Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4н лail aлe лe лe meл••0 ШImport bookmarks... Sprint Board• SRD Queue- New Tab• Google GeminiJy 20820 es reindex stream modee Search in Jiminnv2results for "olanh"PlannatSalesforce log in (planhat.i..O Circle CI & PRODUS J StagingHeloNew ItemU Shareo EditPull requests . limin…Workers | Datadog M Jiminny Mail Dashboards | Datad..Jiminny¿ Profile-All Items? FavoritesWatchtower< Developeno. =moloveeEngineeringIntearation Accounts7 JiminnyTAGSO 2FA• CSV Import 28.01.22(• LastPacs Imnort 111.21|oantervi2 Jiminnv(o) Emolovee [EMAIL]:/app-eus.olanhat.com•Last edited Wednescav. Juv 5. 2023 at 3:29:20 PMIGoodFirefoxG Search with Google or enter addressPlatform Sarint302-..liminnviminnylappInboy (1 620) -lukas.kovalik…liminnvbrief justification, and up to threeO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini isAlcan mike micnkec co dolidle chockt Yolr orivaev domiinSummarize page"suppont Dally • In 4n 43 m100% 2• Tue 12 May 10:17:271Y-20542 addlAJ reports.Mept - DailvPlattorm...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"bounds":{"left":0.3226396,"top":0.92098963,"width":0.043218084,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"bounds":{"left":0.32829124,"top":0.95730245,"width":0.053523935,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"bounds":{"left":0.33394283,"top":0.96249,"width":0.042220745,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Read app-eu3.planhat.com","depth":5,"bounds":{"left":0.46010637,"top":0.9876297,"width":0.047041222,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
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are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
Expand
Listen
Show thinking
Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score...
|
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Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. 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Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
Expand
Listen
Show thinking
Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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tab","depth":5,"bounds":{"left":0.31067154,"top":0.5826017,"width":0.007978723,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Tab","depth":4,"bounds":{"left":0.24617687,"top":0.6097366,"width":0.07413564,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Customize sidebar","depth":6,"bounds":{"left":0.24617687,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Close Google Gemini (⌃X)","depth":6,"bounds":{"left":0.2571476,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Tabs from other devices","depth":6,"bounds":{"left":0.2682846,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open history (⇧⌘H)","depth":6,"bounds":{"left":0.27942154,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open bookmarks (⌘B)","depth":6,"bounds":{"left":0.29055852,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"AI Chat settings","depth":7,"bounds":{"left":0.42802528,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":7,"bounds":{"left":0.43999335,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"WORK, Google Account: lukas.kovalik@jiminny.com","depth":12,"bounds":{"left":0.43733376,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Main menu","depth":12,"bounds":{"left":0.32696143,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Chat","depth":12,"bounds":{"left":0.40940824,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open menu for conversation actions.","depth":12,"bounds":{"left":0.42270613,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Conversation with Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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TrassworeFavouritesE jiminny© Recents* Application TrassworeFavouritesE jiminny© Recents* Applications© DocumentsIcloud• iCloud Drive992 Svnc toldeLocationsDXP4800PLUS-B5FA® Network• CRM• Orange• Red• Yellow• Greer• Purple• All lags..VIewACCOUnTSWindowHelpv 2026= Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4a Daily 2026-05-08.mp4* 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4*s 1-1 2026-04-24.mp4Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4w Daily 2026-04-23.mp4n Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dau Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Daily 2026-04-17.mp4Fu Daily 2026-04-16.mp4ax Planning 2026-04-15.mp4. Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4= Daily 2026-04-09.mp4a Daily 2026-04-07.mp4- Daily 2026-04-06.mp4= Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4н: Retro 2026-03-31.mp4Daily 2026-03-31.mp4•: Refinement 2026-03-30.mo4Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4- Refinenment 2026-03-23.mp4- Daily 2026-03-23.mp4• BE chaoter 2026-03-20.mo4Daily 2026-03-20.mp4an Planing 2026-03-18-converted.mp4= Retinement 2026-02-09-converted.mo4)eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/1-1 2026-03-12.mp4Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/- Daily 2026-03-10.mp4w Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4Po Dailv 2026-03-06.m04<40 ll Support Daily - in 4h 43 m100% C4 & • Tue 12 May 10:17:38JiminnyB ProfileAll Items? FavoritesÄ Watchtower< Developen@ Employee@ EngineeringIntearation Accounts7 JiminnyTAGS• 2FA• CSV Import 28.01.22• LastPass Import 1.11.21oantervi• -app-eu3.planhat.com/loginNew Tab~ Google GeminiJy 20820 es reindex stream mode[JY-20725] [HubSpot) Optimise Cie Search in Jiminnv2results for "olanh"@a 152 Jiminnv@ Employee [EMAIL] log in (planhat.i...lukas.kovallkaminny.comhttos:/app-eus.olanhat.complanhatHelo+ New ItemU Share0 EditCopyGoodo•Last edited Wednescav. Juv 5. 2023 at 3:29:20 PMI.og In.mailasswordLocinot password? Resetn via SAML SSOHow has CustomerSuccess changed inthe past five years?Salaries, goals, expectations, technology….We'd love to hear from you!Take the surveyDid you know?Planhat runs live training sessionsevery Tuesday and Thursday!SIGN LID AT THE LINKS REIOW.Tuesdays at 11am ET / 5pm CETThursdays at 10am ET / 4pm CETtimestamped speaker referencesO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini isJlrcan make micnkes coldollidle chockt Yottr drivaeu wdomtnSummarize page...
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TrassworeFavouritesE jiminny© Recents* Application TrassworeFavouritesE jiminny© Recents* Applications© DocumentsIcloud• iCloud Drive992 Svnc toldeLocationsDXP4800PLUS-B5FA® Network• CRM• Orange• Red• Yellow• Greer• Purple• All lags..VIewACCOUnTSWindowHelpv 2026= Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4a Daily 2026-05-08.mp4* 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4*s 1-1 2026-04-24.mp4Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4w Daily 2026-04-23.mp4n Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dau Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Daily 2026-04-17.mp4Fu Daily 2026-04-16.mp4ax Planning 2026-04-15.mp4. Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4= Daily 2026-04-09.mp4a Daily 2026-04-07.mp4- Daily 2026-04-06.mp4= Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4н: Retro 2026-03-31.mp4Daily 2026-03-31.mp4•: Refinement 2026-03-30.mo4Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4- Refinenment 2026-03-23.mp4- Daily 2026-03-23.mp4• BE chaoter 2026-03-20.mo4Daily 2026-03-20.mp4an Planing 2026-03-18-converted.mp4= Retinement 2026-02-09-converted.mo4)eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/1-1 2026-03-12.mp4Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/- Daily 2026-03-10.mp4w Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4Po Dailv 2026-03-06.m04<40 ll Support Daily - in 4h 43 m100% C4 & • Tue 12 May 10:17:38JiminnyB ProfileAll Items? FavoritesÄ Watchtower< Developen@ Employee@ EngineeringIntearation Accounts7 JiminnyTAGS• 2FA• CSV Import 28.01.22• LastPass Import 1.11.21oantervi• -app-eu3.planhat.com/loginNew Tab~ Google GeminiJy 20820 es reindex stream mode[JY-20725] [HubSpot) Optimise Cie Search in Jiminnv2results for "olanh"@a 152 Jiminnv@ Employee [EMAIL] log in (planhat.i...lukas.kovallkaminny.comhttos:/app-eus.olanhat.complanhatHelo+ New ItemU Share0 EditCopyGoodo•Last edited Wednescav. Juv 5. 2023 at 3:29:20 PMI.og In.mailasswordLocinot password? Resetn via SAML SSOHow has CustomerSuccess changed inthe past five years?Salaries, goals, expectations, technology….We'd love to hear from you!Take the surveyDid you know?Planhat runs live training sessionsevery Tuesday and Thursday!SIGN LID AT THE LINKS REIOW.Tuesdays at 11am ET / 5pm CETThursdays at 10am ET / 4pm CETtimestamped speaker referencesO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini isJlrcan make micnkes coldollidle chockt Yottr drivaeu wdomtnSummarize page...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
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Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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tab","depth":5,"bounds":{"left":0.31067154,"top":0.5826017,"width":0.007978723,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Tab","depth":4,"bounds":{"left":0.24617687,"top":0.6097366,"width":0.07413564,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Customize sidebar","depth":6,"bounds":{"left":0.24617687,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Close Google Gemini (⌃X)","depth":6,"bounds":{"left":0.2571476,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Tabs from other devices","depth":6,"bounds":{"left":0.2682846,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open history (⇧⌘H)","depth":6,"bounds":{"left":0.27942154,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open bookmarks (⌘B)","depth":6,"bounds":{"left":0.29055852,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"AI Chat settings","depth":7,"bounds":{"left":0.42802528,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":7,"bounds":{"left":0.43999335,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"WORK, Google Account: lukas.kovalik@jiminny.com","depth":12,"bounds":{"left":0.43733376,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Main menu","depth":12,"bounds":{"left":0.32696143,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Chat","depth":12,"bounds":{"left":0.40940824,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open menu for conversation actions.","depth":12,"bounds":{"left":0.42270613,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Conversation with Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. 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password?","depth":10,"bounds":{"left":0.51662236,"top":0.6472466,"width":0.044215426,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Reset","depth":11,"bounds":{"left":0.56083775,"top":0.6472466,"width":0.013630319,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Login via SAML SSO","depth":11,"bounds":{"left":0.51662236,"top":0.6775738,"width":0.04870346,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Salaries, goals, expectations, technology…","depth":11,"bounds":{"left":0.77726066,"top":0.44852355,"width":0.11353058,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"We’d love to hear from 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CET","depth":11,"bounds":{"left":0.7947141,"top":0.74660814,"width":0.07862367,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Thursdays at 10am ET / 4pm CET","depth":10,"bounds":{"left":0.79305184,"top":0.76576215,"width":0.08194814,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Thursdays at 10am ET / 4pm CET","depth":11,"bounds":{"left":0.79305184,"top":0.76576215,"width":0.08194814,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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tab","depth":5,"bounds":{"left":0.31067154,"top":0.5826017,"width":0.007978723,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Tab","depth":4,"bounds":{"left":0.24617687,"top":0.6097366,"width":0.07413564,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Customize sidebar","depth":6,"bounds":{"left":0.24617687,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Close Google Gemini (⌃X)","depth":6,"bounds":{"left":0.2571476,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Tabs from other devices","depth":6,"bounds":{"left":0.2682846,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open history (⇧⌘H)","depth":6,"bounds":{"left":0.27942154,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open bookmarks (⌘B)","depth":6,"bounds":{"left":0.29055852,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"AI Chat settings","depth":7,"bounds":{"left":0.42802528,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":7,"bounds":{"left":0.43999335,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"WORK, Google Account: lukas.kovalik@jiminny.com","depth":12,"bounds":{"left":0.43733376,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Main menu","depth":12,"bounds":{"left":0.32696143,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Chat","depth":12,"bounds":{"left":0.40940824,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open menu for conversation actions.","depth":12,"bounds":{"left":0.42270613,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Conversation with Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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TrassworeFavouritesE jiminny© Recents* Application TrassworeFavouritesE jiminny© Recents* Applications© DocumentsIcloud• iCloud Drive992 Svnc toldeLocationsDXP4800PLUS-B5FA® Network• CRM• Orange• Red• Yellow• Greer• Purple• All lags..VIewACCOUnTSWindowHelpv 2026= Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4i Daily 2026-05-08.mp4* 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4*s 1-1 2026-04-24.mp4Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4w Daily 2026-04-23.mp4n Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dau Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Daily 2026-04-17.mp4Fu Daily 2026-04-16.mp4ax Planning 2026-04-15.mp4. Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4= Daily 2026-04-09.mp4• Daily 2026-04-07.mp4- Daily 2026-04-06.mp4= Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4н: Retro 2026-03-31.mp4Daily 2026-03-31.mp4•: Refinement 2026-03-30.m04Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4- Refinenment 2026-03-23.mp4- Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4Daily 2026-03-20.mp4an Planing 2026-03-18-converted.mp4= Retinement 2026-02-09-converted.mo4)eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/1-1 2026-03-12.mp4Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/- Daily 2026-03-10.mp4w Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4Po Dailv 2026-03-06.m04<40 ll Support Daily - in 4h 43 m100% C42 & • Tue 12 May 10:17:42• -app-eu3.planhat.com/logiiNew Tab~ Google GeminiJy 20820 es reindex stream mode[JY-20725] [HubSpot) Optimise Cie Search in Jiminnv2results for "olanh"@a [EMAIL] log in (planhat.i...JiminnyB ProfileAll Items? FavoritesÄ Watchtower< Developen@ Employee@ EngineeringIntearation Accounts7 JiminnyTAGS• 2FA• CSV Import 28.01.22• LastPass Import 1.11.21oantervi2 Jiminnv@ Employee [EMAIL]:/app-eus.olanhat.com•Last edited Wednescav. Juv 5. 2023 at 3:29:20 PMIplanhatHelo+ New ItemU Share0 EditCopy.og [EMAIL] password? Resetn via SAML SSOHow has CustomerSuccess changed inthe past five years?Salaries, goals, expectations, technology….We'd love to hear from you!Take the surveyDid you know?Planhat runs live training sessionsevery Tuesday and Thursday!SIGN LID AT THE LINKS REIOW.Tuesdays at 11am ET / 5pm CETThursdays at 10am ET / 4pm CETtimestamoed soeaker reterencesO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini isAlcan mike micnkec co dolidle chockt Yolr orivaev domiinSummarize page...
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TrassworeFavouritesE jiminny© Recents* Application TrassworeFavouritesE jiminny© Recents* Applications© DocumentsIcloud• iCloud Drive992 Svnc toldeLocationsDXP4800PLUS-B5FA® Network• CRM• Orange• Red• Yellow• Greer• Purple• All lags..VIewACCOUnTSWindowHelpv 2026= Daily 2026-05-12.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4i Daily 2026-05-08.mp4* 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4*s 1-1 2026-04-24.mp4Daily 2026-04-24.mp4User Pilot introduction Adi 2026-04-23.mp4w Daily 2026-04-23.mp4n Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4Dau Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4Daily 2026-04-17.mp4Fu Daily 2026-04-16.mp4ax Planning 2026-04-15.mp4. Retro 2026-04-14.mp4n Daily 2026-04-14.mn/• User pilot (Adi) 2026-04-09.mp4= Daily 2026-04-09.mp4• Daily 2026-04-07.mp4- Daily 2026-04-06.mp4= Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4н: Retro 2026-03-31.mp4Daily 2026-03-31.mp4•: Refinement 2026-03-30.m04Daily 2026-03-30.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4- Refinenment 2026-03-23.mp4- Daily 2026-03-23.mp4• BE chanter 2026-03-20.mo4Daily 2026-03-20.mp4an Planing 2026-03-18-converted.mp4= Retinement 2026-02-09-converted.mo4)eR Daily 2026-02-10 mn/- Review 2026-03-18.mp4am Planing 2026-03-18.mp4F Retro 2026-03-17 mn4- Daily 2026-03-17.mp4Refinement 2026-03-16.mp4• Dailv 2026-03-16.mo4F Daily 2026.02-12 mn/1-1 2026-03-12.mp4Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/- Daily 2026-03-10.mp4w Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4Po Dailv 2026-03-06.m04<40 ll Support Daily - in 4h 43 m100% C42 & • Tue 12 May 10:17:42• -app-eu3.planhat.com/logiiNew Tab~ Google GeminiJy 20820 es reindex stream mode[JY-20725] [HubSpot) Optimise Cie Search in Jiminnv2results for "olanh"@a [EMAIL] log in (planhat.i...JiminnyB ProfileAll Items? FavoritesÄ Watchtower< Developen@ Employee@ EngineeringIntearation Accounts7 JiminnyTAGS• 2FA• CSV Import 28.01.22• LastPass Import 1.11.21oantervi2 Jiminnv@ Employee [EMAIL]:/app-eus.olanhat.com•Last edited Wednescav. Juv 5. 2023 at 3:29:20 PMIplanhatHelo+ New ItemU Share0 EditCopy.og [EMAIL] password? Resetn via SAML SSOHow has CustomerSuccess changed inthe past five years?Salaries, goals, expectations, technology….We'd love to hear from you!Take the surveyDid you know?Planhat runs live training sessionsevery Tuesday and Thursday!SIGN LID AT THE LINKS REIOW.Tuesdays at 11am ET / 5pm CETThursdays at 10am ET / 4pm CETtimestamoed soeaker reterencesO Enter a prompt for GeminiPro vYour Jiminny chats aren't used to improve our models. Gemini isAlcan mike micnkec co dolidle chockt Yolr orivaev domiinSummarize page...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. 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password?","depth":10,"bounds":{"left":0.51662236,"top":0.6472466,"width":0.044215426,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Reset","depth":11,"bounds":{"left":0.56083775,"top":0.6472466,"width":0.013630319,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Login via SAML SSO","depth":11,"bounds":{"left":0.51662236,"top":0.6775738,"width":0.04870346,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Salaries, goals, expectations, technology…","depth":11,"bounds":{"left":0.77726066,"top":0.44852355,"width":0.11353058,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"We’d love to hear from you!","depth":11,"bounds":{"left":0.7972075,"top":0.4708699,"width":0.07363697,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Take the survey","depth":10,"bounds":{"left":0.7642952,"top":0.5159617,"width":0.13962767,"height":0.04868316},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Take the survey","depth":11,"bounds":{"left":0.8121675,"top":0.5323224,"width":0.043716755,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Did you know?","depth":9,"bounds":{"left":0.76163566,"top":0.6300878,"width":0.14494681,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Did you know?","depth":10,"bounds":{"left":0.80701464,"top":0.6312849,"width":0.054022606,"height":0.023144454},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Planhat runs live training sessions","depth":10,"bounds":{"left":0.7875665,"top":0.66001594,"width":0.09291888,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"every","depth":10,"bounds":{"left":0.79238695,"top":0.6823623,"width":0.01662234,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Tuesday","depth":10,"bounds":{"left":0.8090093,"top":0.6823623,"width":0.024268618,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and","depth":10,"bounds":{"left":0.83327794,"top":0.6823623,"width":0.013464096,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thursday!","depth":10,"bounds":{"left":0.84674203,"top":0.6823623,"width":0.028922873,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"SIGN UP AT THE LINKS BELOW:","depth":9,"bounds":{"left":0.76163566,"top":0.73064643,"width":0.14494681,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SIGN UP AT THE LINKS BELOW:","depth":10,"bounds":{"left":0.80285907,"top":0.7302474,"width":0.062333778,"height":0.011971269},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Tuesdays at 11am ET / 5pm CET","depth":10,"bounds":{"left":0.7947141,"top":0.74660814,"width":0.07862367,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Tuesdays at 11am ET / 5pm CET","depth":11,"bounds":{"left":0.7947141,"top":0.74660814,"width":0.07862367,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Thursdays at 10am ET / 4pm CET","depth":10,"bounds":{"left":0.79305184,"top":0.76576215,"width":0.08194814,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Thursdays at 10am ET / 4pm CET","depth":11,"bounds":{"left":0.79305184,"top":0.76576215,"width":0.08194814,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
Listen
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false}]...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570266601_m2.jpg...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
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are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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(⌘B)","depth":6,"bounds":{"left":0.29055852,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"AI Chat settings","depth":7,"bounds":{"left":0.42802528,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":7,"bounds":{"left":0.43999335,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"WORK, Google Account: lukas.kovalik@jiminny.com","depth":12,"bounds":{"left":0.43733376,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Main menu","depth":12,"bounds":{"left":0.32696143,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Chat","depth":12,"bounds":{"left":0.40940824,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open menu for conversation actions.","depth":12,"bounds":{"left":0.42270613,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Conversation with Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
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JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
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JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Edge Cases in Formatting (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Edge Cases in Formatting (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Timestamp Limitations:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The instructions strictly define timestamps as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"85:30","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") or breaks if the system outputs","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HH:MM:SS","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Decimal vs. Whole Numbers:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a \"Whole number","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1–5","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":21,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share & export","depth":20,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":20,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Enter a prompt for Gemini\nencrypted","depth":20,"bounds":{"left":0.33626994,"top":0.8216281,"width":0.10638298,"height":0.01915403},"on_screen":true,"value":"Enter a prompt for Gemini\nencrypted","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Enter a prompt for Gemini","depth":21,"bounds":{"left":0.34291887,"top":0.82202715,"width":0.069980055,"height":0.018355945},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"encrypted","depth":21,"bounds":{"left":0.3352726,"top":0.8216281,"width":0.0066489363,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"bounds":{"left":0.33228058,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"bounds":{"left":0.34823802,"top":0.8575419,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"bounds":{"left":0.40525267,"top":0.85514766,"width":0.026097074,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"bounds":{"left":0.4105718,"top":0.8639266,"width":0.007480053,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"bounds":{"left":0.43334442,"top":0.85514766,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"bounds":{"left":0.4396609,"top":0.85434955,"width":0.013962766,"height":0.033519555},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.","depth":17,"bounds":{"left":0.32845744,"top":0.90901834,"width":0.11951463,"height":0.025139665},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy & Gemini Opens in a new window","depth":17,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy & Gemini","depth":18,"bounds":{"left":0.41040558,"top":0.92178774,"width":0.040059842,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"bounds":{"left":0.3226396,"top":0.92098963,"width":0.043218084,"height":0.012370312},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"bounds":{"left":0.32829124,"top":0.95730245,"width":0.053523935,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"bounds":{"left":0.33394283,"top":0.96249,"width":0.042220745,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
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are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
Expand
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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17
Implementation Days
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Max Rec Seats Test
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Detraction Risk Rating
30 Days to Adoption Sign Off
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Sales: 30 Days to Adoption
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Enablement Sessions
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Users billed
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Implementation progress
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Up for renewal licences (Current ongoing contract)
0
Deal Insights Implementation
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Executive Sponsor
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Implementation specialist
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Upsell owner/s
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ARR at End of Month
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Next Strategic Milestone
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Next steps
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Ongoing Risk
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HEALTH INDICATORS
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NPS Score
not available
Teams using Jiminny
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Features Set Up
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Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. 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Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of the potential issues and bottlenecks based on the changes:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Token Consumption and Context Bloat (Bottleneck)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Massive Payload Size:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By injecting the full","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"per rule","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), the token count per call will skyrocket.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Window Limits:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt states:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"The full call context includes all calls data available...\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If a user filters for 5 or 10 calls, injecting the transcripts","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"plus","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the \"lost in the middle\" effect).","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. LLM Instruction Conflicts (Issue)","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. LLM Instruction Conflicts (Issue)","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed vs. Raw Transcript:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The prompt explicitly instructs the model:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Do not","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"invent, override, or recalculate scores\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but later says,","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"For","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what was actually said","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", still rely on the","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"transcript","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"justification","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Prompt Complexity:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The more rules you add about","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"how","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to read JSON formatting and","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"what","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not to do, the less attention the model pays to the actual user query. 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specialist","depth":11,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-","depth":15,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Upsell owner/s","depth":11,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-","depth":15,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ARR at End of Month","depth":11,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXTextField","text":"-","depth":13,"on_screen":false,"value":"-","help_text":"","role_description":"text 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Score","depth":11,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"not available","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":10,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Teams using Jiminny","depth":11,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Features Set Up","depth":11,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":11,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":10,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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You said are there some issues and bottlenecks
You said
are there some issues and bottlenecks
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Gemini said
Gemini said
Looking closely at the system instructions in the diff, there are definitely a few potential prompt engineering issues and bottlenecks introduced by these additions. When you ask a Large Language Model (LLM) to juggle large transcripts alongside complex JSON scoring objects, it creates specific friction points.
Here is a breakdown of the potential issues and bottlenecks based on the changes:
1. Token Consumption and Context Bloat (Bottleneck)
1. Token Consumption and Context Bloat (Bottleneck)
Massive Payload Size:
By injecting the full
ai_call_score
object into the context (which includes rule names, prompts, scores, text justifications, and up to three timestamps
per rule
), the token count per call will skyrocket.
Context Window Limits:
The prompt states:
"The full call context includes all calls data available..."
If a user filters for 5 or 10 calls, injecting the transcripts
plus
these extensive AI scoring arrays could easily hit the model's maximum context window, leading to truncated data or degraded recall (the "lost in the middle" effect).
2. LLM Instruction Conflicts (Issue)
2. LLM Instruction Conflicts (Issue)
Pre-computed vs. Raw Transcript:
The prompt explicitly instructs the model:
"
Do not
invent, override, or recalculate scores"
but later says,
"For
what was actually said
, still rely on the
transcript
."
This creates a cognitive conflict for the LLM. If the raw transcript contradicts the pre-computed
justification
, the LLM might struggle with which source of truth to prioritize, potentially leading to hallucinations or contradictory summaries.
Prompt Complexity:
The more rules you add about
how
to read JSON formatting and
what
not to do, the less attention the model pays to the actual user query. This is a common bottleneck in prompt engineering known as instruction bloat.
3. Edge Cases in Formatting (Issue)
3. Edge Cases in Formatting (Issue)
Timestamp Limitations:
The instructions strictly define timestamps as
MM:SS
. This works fine for standard calls, but for longer meetings (over an hour), it either forces an awkward format (e.g.,
85:30
) or breaks if the system outputs
HH:MM:SS
.
Decimal vs. Whole Numbers:
The prompt specifies that the overall AI Score might be a decimal (average), but the individual rule score is a "Whole number
1–5
". If the upstream pipeline accidentally passes a decimal for a rule score, the LLM might get confused based on these rigid instructions.
How are you currently handling pagination or chunking for these calls—are you limiting the number of calls that can be passed into the full context at once to avoid token limits?
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Current Opp Forecast
-
Stakeholders Involved
-
Listener users
0
Handover CSM
-
Retention Policy POC
-
Owner
-
Jiminny Customer Type
-
Subscription Tier
-
ARR of Prior Month
-
Podcast POC Role
-
Podcast POC Kiosk link
-
Podcast Priority rating
Renewal Forecast
*
-
Client podcast requirements
-
Podcast cadence
-
end Users number (Role)
17
Implementation Days
-
Max Rec Seats Test
-
Detraction Risk Rating
30 Days to Adoption Sign Off
-
Sales: 30 Days to Adoption
-
Enablement Sessions
-
Users billed
-
Implementation progress
-
Up for renewal licences (Current ongoing contract)
0
Deal Insights Implementation
-
Executive Sponsor
-
Implementation specialist
-
Upsell owner/s
-
ARR at End of Month
-
Next Strategic Milestone
-
-
Next steps
-
-
Ongoing Risk
-
HEALTH INDICATORS
-
NPS Score
not available
Teams using Jiminny
-
Features Set Up
*
-
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app-eu3.planhat.com/profile/677e7777f5db4de5da4a9b app-eu3.planhat.com/profile/677e7777f5db4de5da4a9b20?tab=overview...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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tab","depth":5,"bounds":{"left":0.31067154,"top":0.5826017,"width":0.007978723,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Tab","depth":4,"bounds":{"left":0.24617687,"top":0.6097366,"width":0.07413564,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Customize sidebar","depth":6,"bounds":{"left":0.24617687,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Close Google Gemini (⌃X)","depth":6,"bounds":{"left":0.2571476,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Tabs from other devices","depth":6,"bounds":{"left":0.2682846,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open history (⇧⌘H)","depth":6,"bounds":{"left":0.27942154,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open bookmarks (⌘B)","depth":6,"bounds":{"left":0.29055852,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"AI Chat settings","depth":7,"bounds":{"left":0.42802528,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":7,"bounds":{"left":0.43999335,"top":0.055067837,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"WORK, Google Account: lukas.kovalik@jiminny.com","depth":12,"bounds":{"left":0.43733376,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Main menu","depth":12,"bounds":{"left":0.32696143,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"New Chat","depth":12,"bounds":{"left":0.40940824,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":true,"is_selected":false},{"role":"AXButton","text":"Open menu for conversation actions.","depth":12,"bounds":{"left":0.42270613,"top":0.103751,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Conversation with Gemini","depth":15,"bounds":{"left":0.3226396,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.3226396,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.34557846,"top":0.18355946,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":21,"bounds":{"left":0.36552528,"top":0.19313647,"width":0.06648936,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.3226396,"top":0.19393456,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\\n\\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.","depth":23,"bounds":{"left":0.36552528,"top":0.19473264,"width":0.06648936,"height":0.80526733},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.","depth":23,"bounds":{"left":0.36552528,"top":0.30965683,"width":0.06582447,"height":0.15043895},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.4320146,"top":0.19313647,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":22,"bounds":{"left":0.43733376,"top":0.32083002,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":25,"bounds":{"left":0.34624335,"top":0.32322428,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":20,"bounds":{"left":0.34391624,"top":0.36472467,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":21,"bounds":{"left":0.34391624,"top":0.36671987,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a summary of the changes in the provided code diff:","depth":24,"bounds":{"left":0.33294547,"top":0.367917,"width":0.0987367,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"AI Call Scoring Additions","depth":23,"bounds":{"left":0.33294547,"top":0.4293695,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Call Scoring Additions","depth":24,"bounds":{"left":0.33294547,"top":0.4309657,"width":0.063663565,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Pre-computed Scores:","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.058011968,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Added strict instructions to treat the","depth":26,"bounds":{"left":0.34557846,"top":0.45730248,"width":0.09042553,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":27,"bounds":{"left":0.40591756,"top":0.4792498,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.","depth":26,"bounds":{"left":0.34557846,"top":0.47805268,"width":0.09990027,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Context Breakdown:","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.052526597,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"*","depth":26,"bounds":{"left":0.39810506,"top":0.5905826,"width":0.0051529254,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Short Context:","depth":26,"bounds":{"left":0.40325797,"top":0.5905826,"width":0.037898935,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Now displays the","depth":26,"bounds":{"left":0.34557846,"top":0.5905826,"width":0.09690824,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Scorecard","depth":26,"bounds":{"left":0.3877992,"top":0.6113328,"width":0.03324468,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"name and the overall","depth":26,"bounds":{"left":0.34557846,"top":0.6113328,"width":0.10206117,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI Score","depth":26,"bounds":{"left":0.3721742,"top":0.632083,"width":0.02144282,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(the average of per-rule scores).","depth":26,"bounds":{"left":0.34557846,"top":0.632083,"width":0.09857048,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Full Context:","depth":28,"bounds":{"left":0.3565492,"top":0.6823623,"width":0.032579787,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Details the","depth":28,"bounds":{"left":0.38912898,"top":0.6823623,"width":0.028424202,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ai_call_score","depth":29,"bounds":{"left":0.35854387,"top":0.70430964,"width":0.036236703,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).","depth":28,"bounds":{"left":0.3565492,"top":0.70311254,"width":0.09142287,"height":0.12011173},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Application Rules:","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.046708778,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.","depth":26,"bounds":{"left":0.34557846,"top":0.83639264,"width":0.10239362,"height":0.09936153},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Grammar and Formatting Cleanup","depth":23,"bounds":{"left":0.33294547,"top":0.96009576,"width":0.11502659,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Grammar and Formatting Cleanup","depth":24,"bounds":{"left":0.33294547,"top":0.9616919,"width":0.08809841,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Typo Corrections:","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.046210106,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Fixed minor grammatical errors, such as changing \"contexts\" to \"context\" and \"utlizes\" to \"utilizes\".","depth":26,"bounds":{"left":0.34557846,"top":0.9880287,"width":0.09507979,"height":0.011971295},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"String Formatting:","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.04720745,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (","depth":26,"bounds":{"left":0.34557846,"top":1.0,"width":0.0965758,"height":-0.07980847},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\\n\"","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") from the text strings.","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":22,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share & export","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said are there some issues and bottlenecks","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are there some issues and bottlenecks","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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You said I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected. Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
You said
I’m on page “<tabTitle>JY-20361: Add call scores in Panorama by steliyan-</tabTitle>” with “<selection>@@ -4,7 +4,7 @@ Today is {date_today}.445System instructions:5System instructions:6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.6- You must answer using markdown. Do not use html tags in your response even if requested by the user's question.7-- The contexts includes data for call shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.7+- The context includes data for calls shortlisted through user-applied filters. Note that the calls might not relate to the same deal or not even be by the same sales rep.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.8 - The full call context includes all calls data available while the short call context contains only an overview of the calls that are analysed. Refer to the short call context for quick reference and to see the overall picture.9- The calls are ordered in chronological order. 9- The calls are ordered in chronological order. 10- Here’s how to use the call context:10- Here’s how to use the call context:@@ -16,6 +16,15 @@ System instructions:16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.16 - Frame answers with awareness of the company’s ICP, deal cycle, and sales motion.17 - Evaluate statements or objections based on how the team operates and what success looks like.17 - Evaluate statements or objections based on how the team operates and what success looks like.18 - Position responses in light of known competitors and market dynamics.18 - Position responses in light of known competitors and market dynamics.19+ - AI call score (`ai_call_score` in the full call JSON): When present, treat it as **pre-computed** output from your team’s AI call-scoring pipeline (the same kind of scoring as the `/call/ai-call-scoring` endpoint). **Do not** invent, override, or recalculate scores; interpret and summarize what is given.20+ - **Short call context:** **AI Scorecard** is the name of the scorecard applied to that call; **AI Score** is the **overall** score for that scorecard (the average of its per-rule scores, possibly shown as a decimal).21+ - **Full call context:** The `ai_call_score` object may include `ai_scorecard_name`, `score` (overall for that scorecard), and `ai_scorecard_rules`. For each rule when listed:22+ - `rule_name`: Title of the criterion.23+ - `rule_prompt`: The criterion text that was evaluated.24+ - `score`: Whole number **1–5** measuring how well the call satisfied that criterion against `rule_prompt` (1 = no evidence / not discussed or contrary; 5 = strong, clear evidence on the call).25+ - `justification`: Short rationale grounded in what happened on the call.26+ - `justification_timestamps`: Up to three entries with speaker **name** and **timestamp** (MM:SS in the recording) highlighting where the justification is supported.27+ - Use scores for coaching summaries, trends across calls, or quick comparisons when relevant. For **what was actually said**, still rely on the **transcript** (you may cross-reference rule timestamps when helpful).19- Use the Message History to:28- Use the Message History to:20 - Maintain continuity if the current question refers to previous exchanges.29 - Maintain continuity if the current question refers to previous exchanges.21 - Clarify or resolve ambiguities if the question depends on prior messages.30 - Clarify or resolve ambiguities if the question depends on prior messages.@@ -28,10 +37,10 @@ System instructions:28 - All factual claims must be supported by one or more references to relevant calls.37 - All factual claims must be supported by one or more references to relevant calls.29 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.38 - Use Markdown link syntax ([link text](URL)) and place links inline within sentences. Do not use footnotes, reference sections, or bare URLs. Integrate the reference links directly within the relevant parts of your response, rather than in a separate section.30 - Use markdown links in the format [link text](/playback/{{call_id}})39 - Use markdown links in the format [link text](/playback/{{call_id}})31- - Use descriptive link that utlizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.\n"40+ - Use descriptive link text that utilizes the call name. Do not use call time stamps in the link text even if the link itself contains a time stamp, e.g. use 'Call Name' instead of 'Call Name at 10:00'. Never use call ids as link text.32- - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)\n"41+ - Good example of link text: [Call Name](/playback/1234567890?apFrom=123)33- - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)\n"42+ - Bad example of link text: [Call Name at 12:34](/playback/1234567890?apFrom=123) (do not use call time stamps in the link text)34- - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)\n\n"43+ - Bad example of links: [Call Name on November 12, 2025](/playback/1234567890?apFrom=123) (do not use dates in the link text)35 - You might back your statements with examples from the provided call transcripts in addition to the reference links.44 - You might back your statements with examples from the provided call transcripts in addition to the reference links.36- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.45- Be specific. Use names of accounts, clients and persons involved. Don't just say "one client" or "a client"! If no account is available, use the call title as a reference.37- If the question or context is unclear, request clarification or highlight ambiguities.46- If the question or context is unclear, request clarification or highlight ambiguities.</selection>” selected.
Please summarize the selection using precise and concise language. Use headers and bulleted lists in the summary, to make it scannable. Maintain the meaning and factual accuracy.
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Gemini said
Gemini said
Here is a summary of the changes in the provided code diff:
AI Call Scoring Additions
AI Call Scoring Additions
Pre-computed Scores:
Added strict instructions to treat the
ai_call_score
as pre-computed data. The system must interpret and summarize the provided scores rather than inventing or recalculating them.
Context Breakdown:
*
Short Context:
Now displays the
AI Scorecard
name and the overall
AI Score
(the average of per-rule scores).
Full Context:
Details the
ai_call_score
object, breaking down individual rules. Each rule includes a title, prompt, a 1–5 score, a brief justification, and up to three timestamped speaker references (MM:SS).
Application Rules:
Instructs the system to use these scores for coaching summaries, trends, and comparisons, but dictates that it must still rely on the actual transcript for direct quotes.
Grammar and Formatting Cleanup
Grammar and Formatting Cleanup
Typo Corrections:
Fixed minor grammatical errors, such as changing "contexts" to "context" and "utlizes" to "utilizes".
String Formatting:
Cleaned up the markdown link instructions by removing trailing newline and quotation artifacts (
\n"
) from the text strings.
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are there some issues and bottlenecks...
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570285329_m2.jpg...
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Formalize — Work
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True
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
Planhat
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Hi Lukas
Where should we start?
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🖼️ Create image, button, tap to use tool
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Current Opp Forecast
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Stakeholders Involved
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Listener users
0
Handover CSM
-
Retention Policy POC
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Owner
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Jiminny Customer Type
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Subscription Tier
-
ARR of Prior Month
-
Podcast POC Role
-
Podcast POC Kiosk link
-
Podcast Priority rating
Renewal Forecast
*
-
Client podcast requirements
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Podcast cadence
-
end Users number (Role)
17
Implementation Days
-
Max Rec Seats Test
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Detraction Risk Rating
30 Days to Adoption Sign Off
-
Sales: 30 Days to Adoption
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Enablement Sessions
-
Users billed
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Implementation progress
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Up for renewal licences (Current ongoing contract)
0
Deal Insights Implementation
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Executive Sponsor
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Implementation specialist
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Upsell owner/s
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ARR at End of Month
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Next Strategic Milestone
-
-
Next steps
-
-
Ongoing Risk
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HEALTH INDICATORS
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NPS Score
not available
Teams using Jiminny
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Features Set Up
*
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Features Adopted
-
Adoption Risks
-
-
ADDITIONAL PRODUCTS LINE
-
-
Product Name
-
-
Teams Using Jiminny (Add product line)
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Languages
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Features set up (add product line)
-
Features Adopted (Add product line)
-
Adoption Risk (add product line)
-
-
USER DETAIL
-
Active Jiminny Instance
NO
YES
Trial held
NO
YES
Customer Status
prospect
Phase
-
Originally Contracted Licences
-
Recording users
17
Live Insights users
-
Voice users
0
CONTRACT INFORMATION
-
Customer Since
Renewal
prospect
Renewal (in days)
-
Auto-renew Active
NO
YES
Contracted user number (at agreement)
-
Shelley Notes
-
Petko Notes
-
Logging Workflow
-
-
Upsell next step
-
-
Upsell opportunity
-
-
Integrations
-
Decision Maker_
-
Stakeholder/s
-
Data Center
eu
Months to retain data in Jiminny
-
CRM
hubspot
Email Provider
google
Related Domains
formalize.com
whistleblowersoftware.com
formalize.com
Account Status
2 week trial
Followers
-
Date Created
Jan 08, 2025
Jan 08, 2025
HQ Location
-
Potential to return
NO
YES
Sentiment score
-
WORKFLOWS
WORKFLOWS
Trial Workflow:...
|
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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eu
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CRM
hubspot
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whistleblowersoftware.com
formalize.com
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Jan 08, 2025
Jan 08, 2025
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
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Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
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Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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🖼️ Create image, button, tap to use tool
🖼️ Create image
🎸 Create music, button, tap to use tool
🎸 Create music
Boost my day, button, tap to use tool
Boost my day
Help me learn, button, tap to use tool
Help me learn
Write anything, button, tap to use tool
Write anything
Enter a prompt for Gemini
encrypted
Enter a prompt for Gemini
encrypted
Open upload file menu
Tools
Open mode picker
Fast
Microphone
Send message
Summarize page
Summarize page
L
L
-
HEALTH
Formalize
See in SalesForce
See in SalesForce
Add a description
Add a description
Current Opp Forecast
-
Stakeholders Involved
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Listener users
0
Handover CSM
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Retention Policy POC
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Owner
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Jiminny Customer Type
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Subscription Tier
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ARR of Prior Month
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Podcast POC Role
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Podcast POC Kiosk link
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Podcast Priority rating
Renewal Forecast
*
-
Client podcast requirements
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Podcast cadence
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end Users number (Role)
17
Implementation Days
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Max Rec Seats Test
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Detraction Risk Rating
30 Days to Adoption Sign Off
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Sales: 30 Days to Adoption
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Enablement Sessions
-
Users billed
-
Implementation progress
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Up for renewal licences (Current ongoing contract)
0
Deal Insights Implementation
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Executive Sponsor
-
Implementation specialist
-
Upsell owner/s
-
ARR at End of Month
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Next Strategic Milestone
-
-
Next steps
-
-
Ongoing Risk
-
HEALTH INDICATORS
-
NPS Score
not available
Teams using Jiminny
-
Features Set Up
*
-
Features Adopted
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Adoption Risks
-
-
ADDITIONAL PRODUCTS LINE
-
-
Product Name
-
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Teams Using Jiminny (Add product line)
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Languages
-
Features set up (add product line)
-
Features Adopted (Add product line)
-
Adoption Risk (add product line)
-
-
USER DETAIL
-
Active Jiminny Instance
NO
YES
Trial held
NO
YES
Customer Status
prospect
Phase
-
Originally Contracted Licences
-
Recording users
17
Live Insights users
-
Voice users
0...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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