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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
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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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 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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. 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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
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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
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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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:
"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...
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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"}]...
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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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2026-05-12T07:17:31.365614+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570251365_m2.jpg...
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Firefox
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Work — Mozilla Firefox
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True
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app-eu3.planhat.com/login
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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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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
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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
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?
Good response
Bad response
Redo
Share & export
Copy
Show more options
Enter a prompt for Gemini
encrypted
Enter a prompt for Gemini
encrypted
Open upload file menu
Tools
Open mode picker
Pro
Microphone
Send message
Your Jiminny chats aren’t used to improve our models. Gemini is AI. It can make mistakes, so double check it.
Your privacy & Gemini Opens in a new window
Your privacy & Gemini
Opens in a new window
Summarize page
Summarize page
Read app-eu3.planhat.com...
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iTerm2
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NULL
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True
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monitor_2
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NULL
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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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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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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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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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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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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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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. 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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.
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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:...
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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 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($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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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
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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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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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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":"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
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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
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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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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":"\". 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. 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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
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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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
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
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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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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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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 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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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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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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.
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
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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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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":"\". 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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
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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.
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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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. 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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. 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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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
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 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($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
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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jiminny/app","depth":5,"bounds":{"left":0.25664893,"top":0.4557063,"width":0.15159574,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"LLM pricing overview with the most actual prices - Google Search","depth":4,"bounds":{"left":0.24335106,"top":0.4772546,"width":0.07962101,"height":0.032721467},"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"LLM pricing overview with the most actual prices - Google 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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},{"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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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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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"}]...
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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/2026-05-12/1778570205086_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
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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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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 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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
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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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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. 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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 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
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","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
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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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[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 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($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 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
Pipelines - jiminny/app
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Pull requests · jiminny/app
Pull requests · jiminny/app
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($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 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
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[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($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 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 3 Q2 - Platform Team - Scrum Board - Jira
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
JY-20625 | JY-20742 | MCP POC by yalokin-jiminny · Pull Request #12036 · jiminny/app
LLM pricing overview with the most actual prices - Google Search
LLM pricing overview with the most actual prices - Google Search
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[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
JY-20773 fix user pilot tracking ofr automated report generated by LakyLak · Pull Request #12024 · jiminny/app
[JY-20776] Automated report - sentry - Jira
[JY-20776] Automated report - sentry - Jira
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($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
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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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
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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2026-05-12T07:16:23.743406+00:00
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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
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
Name
Date Modified
Size
Kind
db.sqlite-wal
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Document
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3,86 GB
Document
data
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1,45 GB
Folder
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40 KB
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db.sqlite-shm
Today at 9:26
66 KB
Document
screenpipe.2026-05-11.0.log
Yesterday at 22:54
529 KB
Log File
sync.log
Yesterday at 20:54
9 KB
Log File
screenpipe_sync.sh
Yesterday at 20:54
32 KB
Terminal scripts
screenpipe.2026-05-10.0.log
10 May 2026 at 23:51
88 KB
Log File
clipboard-disabled-after-crash
10 May 2026 at 14:43
Zero bytes
Document
screenpipe_sync.sh.bak2
10 May 2026 at 13:34
21 KB
Document
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10 May 2026 at 11:39
13 KB
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382 KB
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566 KB
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screenpipe.2026-05-06.0.log
6 May 2026 at 21:02
28 KB
Log File
screenpipe_sync.sh.bak
6 May 2026 at 20:26
15 KB
Document
Name
Date Modified
Size
Kind
17 items, 19,41 GB available
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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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19
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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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'HandleHubspotRateLimitTest'","depth":6,"bounds":{"left":0.9268617,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"More Actions","depth":6,"bounds":{"left":0.9381649,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JetBrains AI","depth":5,"bounds":{"left":0.96609044,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search 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Error","depth":4,"bounds":{"left":0.41855052,"top":0.074221864,"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":"<?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}","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},{"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 {
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2026-05-12T07:16:05.582456+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570165582_m2.jpg...
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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
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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
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InternationalNumberTransformer.php.html build/coverage/Http/Transformers
InferTranscriptionSpeakersByMatchingTranscriptSegmentsToSnapshotParticipants.php.html build/.../Component/Zoom/Job
Http/Transformers/InvitationTransformer.php
Open In Right Split...
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Filter
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Intre
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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
InitiateTranscriptionEndpointTest.php .../tests/.../Gladia/Endpoints/InitiateTranscriptionEndpointTest.php, class
InitiateTranscriptionServiceTest.php .../tests/.../TranscriptionProcessor/Gladia/Services/InitiateTranscriptionServiceTest.php, class
InvalidTranslationResponseException.php .../app/.../Gladia/Exceptions/InvalidTranslationResponseException.php, exception class
IntegrationAppTrait.php .../app/Http/Controllers/Webhook/IntegrationAppSubscriptions/IntegrationAppTrait.php
IntegrationConfigTrait.php .../app/Services/Activity/BaseService/Config/IntegrationConfigTrait.php
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
InferTranscriptionSpeakersByMatchingTranscriptSegmentsToSnapshotParticipants.php.html build/.../Component/Zoom/Job
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
InitiateTranscriptionEndpointTest.php .../tests/.../Gladia/Endpoints/InitiateTranscriptionEndpointTest.php, class
InitiateTranscriptionServiceTest.php .../tests/.../TranscriptionProcessor/Gladia/Services/InitiateTranscriptionServiceTest.php, class
InvalidTranslationResponseException.php .../app/.../Gladia/Exceptions/InvalidTranslationResponseException.php, exception class
IntegrationAppTrait.php .../app/Http/Controllers/Webhook/IntegrationAppSubscriptions/IntegrationAppTrait.php
IntegrationConfigTrait.php .../app/Services/Activity/BaseService/Config/IntegrationConfigTrait.php
InvitationTransformer.php.html build/coverage/Http/Transformers
IntegrationTransformer.php.html build/coverage/Http/Transformers
IntegrationConfigTrait.php.html build/coverage/Services/Activity/BaseService
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InternationalNumberTransformer.php.html build/coverage/Http/Transformers
InferTranscriptionSpeakersByMatchingTranscriptSegmentsToSnapshotParticipants.php.html build/.../Component/Zoom/Job
Http/Transformers/InvitationTransformer.php
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22627
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22627
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975
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2026-05-12T07:15:56.531859+00:00
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PhpStorm
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True
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monitor_2
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NULL
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NULL
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NULL
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Project Files
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Listeners/AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php
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[{"role":"AXButton","text" [{"role":"AXButton","text":"Project Files","depth":2,"bounds":{"left":0.6968085,"top":0.24181964,"width":0.03557181,"height":0.01915403},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Preview","depth":2,"bounds":{"left":0.73238033,"top":0.24181964,"width":0.008643617,"height":0.01915403},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Filter","depth":2,"bounds":{"left":0.74102396,"top":0.24181964,"width":0.008643617,"height":0.01915403},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open in Find Tool Window","depth":2,"bounds":{"left":0.7496675,"top":0.24181964,"width":0.008643617,"height":0.01915403},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Listeners/AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php","depth":1,"bounds":{"left":0.50598407,"top":0.28411812,"width":0.15625,"height":0.013567438},"on_screen":true,"help_text":"Listeners/AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php","role_description":"text"},{"role":"AXLink","text":"Open In Right Split","depth":1,"bounds":{"left":0.71476066,"top":0.28411812,"width":0.03856383,"height":0.013567438},"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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6782412808909956536
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148711843306217660
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Listeners/AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php
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NULL
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NULL
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NULL
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NULL
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22625
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975
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22
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2026-05-12T07:15:50.451667+00:00
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Tra
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TrackAutomatedReportGeneratedEventTest.php .../.../UserPilot/TrackAutomatedReportGeneratedEventTest.php, class
Track.php .../app/Models/Track.php, class
TrackAvailable.php .../app/Events/Activities/Audio/TrackAvailable.php, class
TrackAvailable.php .../app/Listeners/Activities/Audio/TrackAvailable.php, class
TrackAvailableListenerTest.php .../tests/Unit/Listeners/Activities/Audio/TrackAvailableListenerTest.php, class
TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Audio/TrackChannelsAnalyzedEvent.php, class
TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Video/TrackChannelsAnalyzedEvent.php, class
Track.php.html build/coverage/Models
TrackChannelsAnalyzedEventTest.php .../tests/Unit/.../FFMpeg/Events/Audio/TrackChannelsAnalyzedEventTest.php, class
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TrackAvailable.php.html build/coverage/Listeners/Activities/Audio
TrackChannelsAnalyzedEvent.php.html build/coverage/Component/FFMpeg/Events/Audio
TrackChannelsAnalyzedEvent.php.html build/coverage/Component/FFMpeg/Events/Video
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TrackAutomatedReportGeneratedEvent.php .../.../AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php, class
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Track.php .../app/Models/Track.php, class
TrackAvailable.php .../app/Events/Activities/Audio/TrackAvailable.php, class
TrackAvailable.php .../app/Listeners/Activities/Audio/TrackAvailable.php, class
TrackAvailableListenerTest.php .../tests/Unit/Listeners/Activities/Audio/TrackAvailableListenerTest.php, class
TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Audio/TrackChannelsAnalyzedEvent.php, class
TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Video/TrackChannelsAnalyzedEvent.php, class
Track.php.html build/coverage/Models
TrackChannelsAnalyzedEventTest.php .../tests/Unit/.../FFMpeg/Events/Audio/TrackChannelsAnalyzedEventTest.php, class
TrackChannelsAnalyzedEventTest.php .../tests/Unit/.../FFMpeg/Events/Video/TrackChannelsAnalyzedEventTest.php, class
TrackAvailable.php.html build/coverage/Events/Activities/Audio
TrackAvailable.php.html build/coverage/Listeners/Activities/Audio
TrackChannelsAnalyzedEvent.php.html build/coverage/Component/FFMpeg/Events/Audio
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Listeners/AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php
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test.py
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PhpStormVIewINavigarecodeWindowFV faVsco.js°9 JY-20725-handle-HS-search-rate-limitProiectC) AutomatedReportGeneratea.onp© PlaybackController.php x|aravel.logA SF (jiminny@localhost]4 HS_local [jiminny@localhost]« console [PROD]# console [eu)C) SubscrintionControfinal class PlaybackController extends FrontendControllerA console [STAGING]C) TeamA AutomationC) TeamA ConteytConlФ TeamController.phpc) ToaminciahtcContro transcrlpuonconu© TranslationControll© UserController.php© VocabularyControll>@ Auth-customerapl›J Internav D Kioskeams© ActivityController.pAutomatedReportsic) DashboardControlleC) ImpersonationContc) Orcanizationscontr0 PartnersController.C) ProfileController.oh© SearchController.pl>• SettingsM Telenhonvv M Wehhook>D Hubspot>D IntegrationAppSub:© ActivityProviderCor© ActivityTranscriptio© BaseController.php© CalendarController,© ReportController.phSoftphoneWebhool.AhstractController.ong@ CommentContextinterc) conterencesOptinOutc) controller.phpExportController.phpTFrontendcontroller ira@ GeocodinaController.n(C) HealthCheckControllei@ LiveCoachController.p(C) Missina TeamControlleC) MobileController.ohvYe) PlavbackControlier ohg DlavlistController nhnH6и3 AVpudLlc Tunction snow ActivlcySactivity, PlaybackPageTransformer $transformer, Request Srequest): array|string$data = Fractal::createQ->item(Saculvity.Stransformer->setConsumer(Suser)->serzal1zewichnew Jsonserallzero->соАггаyОнsoacalplaybackvaca'"mascerPlayuist = sch1s->getPreloadedrlayu1stsaccivicynif (! isset(Sdata['playbackData']['tracks'])) {Sdatal'playbackData']['tracks'] = M:* Sendina 'plaubackVisited' event to Planhat without slowing the* response to the user e.a.defer(fnO => Sthis->nlanhatService->trackdevent: 'playbackVisited',navlnad."'activityId' => $activity->getId,'activityUuid' => Sactivity->getUuid.)->aLways():return Sthis->render(O'playbackData' =>['activity' => Sdata['playbackData']'favorited' => $data[ 'favorited']'subscribed' => $data( 'subscribed'].orivate function detPreloadedPlavlistActivitv Sactivitv): arrav-...;* athrows AuthorizationExcentionGET Inlavlict[activitv) m2u8 fnlavlict1(C) PucherController nhn0 SlackController nhnuched 1 commit to oriain/IV.20725-handle.HS-coarch-rate-limit |/ View null reauect (vecterdav 10•02)public function playlist(Activity $activity): Response{...}[2026-05-07 14:21:15] local.INF0: [Hubspot] DEBUG Getting headers {"neaders"."Vace":L"Inu,0r May 2020 14.21.15 bMl"J,"Transter-Encodinq":"chunked")."CF-Ray":"9t80deb8dbo0dcsa-S0F".,ClassesFilesSymbolsActionsTextProject Files v"server-timing": ["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3)","x-content-tvoe-ootions":"nosniff"."x-hubsoot-correlation-id":"019e02d0-6fd8-7812-bdba-885b7ccb3ee3"7."Set-Cookie":["__cf_bm=StUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfW07-May-26 14:51:15 GMT; domain=.hubapi.com; Http0nly; Secure; SameSite=None"),"Renont-To".f"s"endnoints".'\"url\":"https:\V/\V/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIx\"group\":\"cf-nel\",\"max_age\":604800}"],"NEL":["{success_traction.0.ulrreport to. "cr-nel,|"max agel ":604800}"]"Server": ["cloudflare"]}} {"correlation_1d": "95256555-eC98-4541-D92a-adta/Sb6veab","trace 10":"C/AD8565-905t-4604-9405-8e5b551e5545hal"suppont Dally • In 4h 40 M100% 5• Tue 12 May 10:15:47HandleHubspotRateLimitTest vcascadePlanhat Event Playbac+0..find planhat event playback visitedThoughtsSearched planhat in ~/iminnylappThoughtsSearched olavback *visitedivisited."olavback in ~/fiminnvlaoolThoughtsSearched visited in appFound it in PlaybackController.php :Read DlavbackController.nhn #| 85-114Location:Plavbackcontroller.0no:95-168oho.*Cendina InlavbackVicitedl event to Planhat without clowina +hedeferlfn = Sthis->olanhatService-strack(user. Suserpayload: ['activityld' = Sactivity->getId(),activitvluid' = sactivity-saetluido.-salwavs@)Contovt. Collod in tha niavhaak nado controllor wronnod in doforl to firo tha Dlanhat avant scunchronduely aftor thoHTTP response is sent to avoid slowina down the user experience.Oal *• Your included daily usage quota is exhausted. Purchase extra usage to continue using premium models. Quota resets May 12, 11:00Ask anvthina (84L)÷ @Code SWF-1.6WN Windsurf Toams 00-15UTF.8io 4 spaces...
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track
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TrackAutomatedReportGeneratedEvent.php .../.../AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php, class
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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
TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Video/TrackChannelsAnalyzedEvent.php, class
TrackChannelsAnalyzedEventTest.php .../tests/Unit/.../FFMpeg/Events/Audio/TrackChannelsAnalyzedEventTest.php, class
Track.php.html build/coverage/Models
TrackAvailable.php.html build/coverage/Events/Activities/Audio
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TrackChannelsAnalyzedEvent.php.html build/coverage/Component/FFMpeg/Events/Audio
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Models/Track.php
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track
Track.php .../app/Models/Track.php, class
TrackAutomatedReportGeneratedEvent.php .../.../AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php, class
TrackAutomatedReportGeneratedEventTest.php .../.../UserPilot/TrackAutomatedReportGeneratedEventTest.php, class
track-restored.blade.php resources/views/emails/activities
TrackAvailable.php .../app/Events/Activities/Audio/TrackAvailable.php, class
TrackAvailable.php .../app/Listeners/Activities/Audio/TrackAvailable.php, class
TrackAvailableListenerTest.php .../tests/Unit/Listeners/Activities/Audio/TrackAvailableListenerTest.php, class
TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Audio/TrackChannelsAnalyzedEvent.php, class
TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Video/TrackChannelsAnalyzedEvent.php, class
TrackChannelsAnalyzedEventTest.php .../tests/Unit/.../FFMpeg/Events/Audio/TrackChannelsAnalyzedEventTest.php, class
Track.php.html build/coverage/Models
TrackAvailable.php.html build/coverage/Events/Activities/Audio
TrackAvailable.php.html build/coverage/Listeners/Activities/Audio
TrackChannelsAnalyzedEvent.php.html build/coverage/Component/FFMpeg/Events/Audio
TrackChannelsAnalyzedEvent.php.html build/coverage/Component/FFMpeg/Events/Video
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Track.php .../app/Models/Track.php, class
TrackAutomatedReportGeneratedEvent.php .../.../AutomatedReports/UserPilot/TrackAutomatedReportGeneratedEvent.php, class
TrackAutomatedReportGeneratedEventTest.php .../.../UserPilot/TrackAutomatedReportGeneratedEventTest.php, class
track-restored.blade.php resources/views/emails/activities
TrackAvailable.php .../app/Events/Activities/Audio/TrackAvailable.php, class
TrackAvailable.php .../app/Listeners/Activities/Audio/TrackAvailable.php, class
TrackAvailableListenerTest.php .../tests/Unit/Listeners/Activities/Audio/TrackAvailableListenerTest.php, class
TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Audio/TrackChannelsAnalyzedEvent.php, class
TrackChannelsAnalyzedEvent.php .../app/Component/FFMpeg/Events/Video/TrackChannelsAnalyzedEvent.php, class
TrackChannelsAnalyzedEventTest.php .../tests/Unit/.../FFMpeg/Events/Audio/TrackChannelsAnalyzedEventTest.php, class
Track.php.html build/coverage/Models
TrackAvailable.php.html build/coverage/Events/Activities/Audio
TrackAvailable.php.html build/coverage/Listeners/Activities/Audio
TrackChannelsAnalyzedEvent.php.html build/coverage/Component/FFMpeg/Events/Audio
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faVsco.js – PlaybackController.php
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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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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":"AXStaticText","text":"6","depth":4,"bounds":{"left":0.39162233,"top":0.07581804,"width":0.007978723,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"3","depth":4,"bounds":{"left":0.40159574,"top":0.07581804,"width":0.007978723,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"bounds":{"left":0.4112367,"top":0.074221864,"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":0.41855052,"top":0.074221864,"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":"<?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}","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},{"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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click
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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'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings
Code changed:
Hide
Sync Changes
Hide This Notification
6
3
Previous Highlighted Error
Next Highlighted Error
<?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:
Hide
19
Previous Highlighted Error
Next Highlighted Error
[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
New File or Directory…
Expand Selected
Collapse All
Options
Hide...
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22617
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975
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2026-05-12T07:15:28.206186+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570128206_m2.jpg...
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PhpStorm
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faVsco.js – PlaybackController.php
|
True
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monitor_2
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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'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings
Code changed:
Hide
Sync Changes
Hide This Notification
6
3
Previous Highlighted Error
Next Highlighted Error
<?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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[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; 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
);
}
}
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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
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IDE and Project Settings
Code changed:
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3
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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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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}]...
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-4562741786609293364
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app_switch
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accessibility
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NULL
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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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2026-05-12T07:15:22.788278+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570122788_m2.jpg...
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Finder
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.screenpipe
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True
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monitor_2
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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
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
Name
Date Modified
Size
Kind
db.sqlite-wal
Today at 10:15
16,8 MB
Document
data
Today at 10:15
1,45 GB
Folder
db.sqlite
Today at 10:14
3,85 GB
Document
screenpipe.2026-05-12.0.log
Today at 10:14
40 KB
Log File
db.sqlite-shm
Today at 9:26
66 KB
Document
screenpipe.2026-05-11.0.log
Yesterday at 22:54
529 KB
Log File
sync.log
Yesterday at 20:54
9 KB
Log File
screenpipe_sync.sh
Yesterday at 20:54
32 KB
Terminal scripts
screenpipe.2026-05-10.0.log
10 May 2026 at 23:51
88 KB
Log File
clipboard-disabled-after-crash
10 May 2026 at 14:43
Zero bytes
Document
screenpipe_sync.sh.bak2
10 May 2026 at 13:34
21 KB
Document
pipes
10 May 2026 at 11:39
13 KB
Folder
screenpipe.2026-05-09.0.log
9 May 2026 at 23:04
167 KB
Log File
screenpipe.2026-05-08.0.log
8 May 2026 at 22:20
382 KB
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screenpipe.2026-05-07.0.log
7 May 2026 at 21:50
566 KB
Log File
screenpipe.2026-05-06.0.log
6 May 2026 at 21:02
28 KB
Log File
screenpipe_sync.sh.bak
6 May 2026 at 20:26
15 KB
Document
Name
Date Modified
Size
Kind
17 items, 19,34 GB available
.screenpipe...
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[{"role":"AXStaticText","text& [{"role":"AXStaticText","text":"Favourites","depth":6,"bounds":{"left":0.5049867,"top":0.061452515,"width":0.06216755,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"jiminny","depth":6,"bounds":{"left":0.51296544,"top":0.08140463,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"AirDrop","depth":6,"bounds":{"left":0.51296544,"top":0.103751,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Recents","depth":6,"bounds":{"left":0.51296544,"top":0.12609737,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Applications","depth":6,"bounds":{"left":0.51296544,"top":0.14844373,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Documents","depth":6,"bounds":{"left":0.51296544,"top":0.1707901,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Downloads","depth":6,"bounds":{"left":0.51296544,"top":0.19313647,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"lukas","depth":6,"bounds":{"left":0.51296544,"top":0.21548285,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"iCloud","depth":6,"bounds":{"left":0.5049867,"top":0.2434158,"width":0.06216755,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"iCloud 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566 KB
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15 KB
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Favourites
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DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
Name
Date Modified
Size
Kind...
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db.sqlite-wal
Today at 10:15
16,8 MB
Document
data
Today at 10:15
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LakyLak bose qc35 II (input)_2026-05-12_07-14-38.mp4
Today at 10:15
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Today at 10:15
44 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-14-08.mp4
Today at 10:14
215 KB
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Today at 10:14
14 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-13-39.mp4
Today at 10:14
219 KB
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Today at 10:14
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Today at 10:14
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LakyLak bose qc35 II (input)_2026-05-12_07-13-09.mp4
Today at 10:13
212 KB
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System Audio (output)_2026-05-12_07-13-08.mp4
Today at 10:13
250 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-12-39.mp4
Today at 10:13
206 KB
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System Audio (output)_2026-05-12_07-12-38.mp4
Today at 10:13
239 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-12-09.mp4
Today at 10:12
215 KB
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Today at 10:12
238 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-11-39.mp4
Today at 10:12
219 KB
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Today at 10:11
226 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-11-09.mp4
Today at 10:11
212 KB
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Today at 10:11
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Today at 10:11
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Today at 10:10
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LakyLak bose qc35 II (input)_2026-05-12_07-10-09.mp4
Today at 10:10
207 KB
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System Audio (output)_2026-05-12_07-09-45.mp4
Today at 10:10
254 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-09-40.mp4
Today at 10:10
228 KB
MPEG-4 movie
System Audio (output)_2026-05-12_07-09-17.mp4
Today at 10:09
239 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-09-10.mp4
Today at 10:09
228 KB
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Today at 10:09
236 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-08-40.mp4
Today at 10:09
230 KB
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Today at 10:08
245 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-08-10.mp4
Today at 10:08
217 KB
MPEG-4 movie
System Audio (output)_2026-05-12_07-07-51.mp4
Today at 10:08
225 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-07-40.mp4
Today at 10:08
211 KB
MPEG-4 movie
System Audio (output)_2026-05-12_07-07-24.mp4
Today at 10:07
240 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_07-07-11.mp4
Today at 10:07
211 KB...
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Favourites
jiminny
AirDrop
Recents
Applications
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AirDrop
Recents
Applications
Documents
Downloads
lukas
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iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
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Yellow
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Name
Date Modified
Size
Kind
db.sqlite-wal
Today at 10:15
16,8 MB
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Today at 10:15
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LakyLak bose qc35 II (input)_2026-05-12_07-14-38.mp4
Today at 10:15
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MPEG-4 movie
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Today at 10:15
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LakyLak bose qc35 II (input)_2026-05-12_07-14-08.mp4
Today at 10:14
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Today at 10:14
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Today at 10:13
212 KB
MPEG-4 movie
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Today at 10:13
250 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_07-12-39.mp4
Today at 10:13
206 KB
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Today at 10:13
239 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-12-09.mp4
Today at 10:12
215 KB
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Today at 10:12
238 KB
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Today at 10:12
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Today at 10:11
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Today at 10:11
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Today at 10:11
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Today at 10:11
223 KB
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Today at 10:10
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LakyLak bose qc35 II (input)_2026-05-12_07-10-09.mp4
Today at 10:10
207 KB
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Today at 10:10
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LakyLak bose qc35 II (input)_2026-05-12_07-09-40.mp4
Today at 10:10
228 KB
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Today at 10:09
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LakyLak bose qc35 II (input)_2026-05-12_07-09-10.mp4
Today at 10:09
228 KB
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Today at 10:09
236 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-08-40.mp4
Today at 10:09
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Today at 10:08
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LakyLak bose qc35 II (input)_2026-05-12_07-08-10.mp4
Today at 10:08
217 KB
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System Audio (output)_2026-05-12_07-07-51.mp4
Today at 10:08
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LakyLak bose qc35 II (input)_2026-05-12_07-07-40.mp4
Today at 10:08
211 KB
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System Audio (output)_2026-05-12_07-07-24.mp4
Today at 10:07
240 KB
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LakyLak bose qc35 II (input)_2026-05-12_07-07-11.mp4
Today at 10:07
211 KB...
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22608
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2026-05-12T07:15:19.219967+00:00
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Favourites
jiminny
AirDrop
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Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
Name
Date Modified
Size
Kind
2026
Today at 10:15
--
Folder
Daily 2026-05-12.mp4
Today at 10:13
1,02 GB
MPEG-4 movie
PLanhat Petko interest event 2026-05-11.mp4
Yesterday at 12:22
144,5 MB
MPEG-4 movie
Daily 2026-05-11.mp4
Yesterday at 10:02
491,3 MB
MPEG-4 movie
Daily 2026-05-08.mp4
8 May 2026 at 10:22
1,37 GB
MPEG-4 movie
1-1 2026-05-07.mp4
7 May 2026 at 18:21
1,55 GB
MPEG-4 movie
Daily 2026-05-07.mp4
7 May 2026 at 10:10
931,7 MB
MPEG-4 movie
1-1 2026-04-24.mp4
24 Apr 2026 at 14:44
1,86 GB
MPEG-4 movie
Daily 2026-04-24.mp4
24 Apr 2026 at 10:11
832,2 MB
MPEG-4 movie
User Pilot introduction Adi 2026-04-23.mp4
23 Apr 2026 at 11:58
724 MB
MPEG-4 movie
Daily 2026-04-23.mp4
23 Apr 2026 at 10:32
1,74 GB
MPEG-4 movie
Daily 2026-04-22.mp4
22 Apr 2026 at 10:21
1,36 GB
MPEG-4 movie...
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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
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Network
Tags
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Orange
Red
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All Tags…
Name
Date Modified
Size
Kind
2026
Today at 10:15
--
Folder
Daily 2026-05-12.mp4
Today at 10:13
1,02 GB
MPEG-4 movie
PLanhat Petko interest event 2026-05-11.mp4
Yesterday at 12:22
144,5 MB
MPEG-4 movie
Daily 2026-05-11.mp4
Yesterday at 10:02
491,3 MB
MPEG-4 movie
Daily 2026-05-08.mp4
8 May 2026 at 10:22
1,37 GB
MPEG-4 movie
1-1 2026-05-07.mp4
7 May 2026 at 18:21
1,55 GB
MPEG-4 movie
Daily 2026-05-07.mp4
7 May 2026 at 10:10
931,7 MB
MPEG-4 movie
1-1 2026-04-24.mp4
24 Apr 2026 at 14:44
1,86 GB
MPEG-4 movie
Daily 2026-04-24.mp4
24 Apr 2026 at 10:11
832,2 MB
MPEG-4 movie
User Pilot introduction Adi 2026-04-23.mp4
23 Apr 2026 at 11:58
724 MB
MPEG-4 movie
Daily 2026-04-23.mp4
23 Apr 2026 at 10:32
1,74 GB
MPEG-4 movie
Daily 2026-04-22.mp4
22 Apr 2026 at 10:21
1,36 GB
MPEG-4 movie...
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570102849_m2.jpg...
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FinderFavouritesjiminny(*) AirDrop• Recents* Appli FinderFavouritesjiminny(*) AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Sunc tolderL DXP4800PLUS-Bor4 Network• CRM• Orange• Red•Yellow• Greero Bue• Purple• All lags..1 27m 56s1.02 GFVIeWWindowmelpworkback/rorwarev 2026- Daily 2026-05-12 at 0945.47.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4w DalllIя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4us 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4*User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4ba Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4L Daily 2026-04-17.mo4ru 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.mp4Daily 2026-04-06.mp4=Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4— Dally 2020-03-31.m04•: Refinement 2026-03-30.m04m Daily 2026-03-30.mp4Daily 2026-03-27.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.mp/F Dailv 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4• Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4н лail aлe лe лe meл88E0C000 VGroupShare Add TagsActionv Q SearchDate ModifiedToday at 10:14Today at 10:13Yesterday at 12.22Yesterday at 10:028 May 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 11:5823 Apr 2026 at 10:3221 Apr 2026 at 11:0221 Aor 2026 at 10:0020 Apr 2026 at 16:5620 Apr 2026 at 10:0617 Apr 2026 at 10:1616 Anr 2026 at 10:0014 Apr 2026 at 1/:3/14 Anr 2026 at 10:009 Apr 2026 at 14:479 Apr 2026 at 10:078Aor 2026 at 10:167 Apr 2026 at 10:016 Apr 2026 at 10:083 Apr 2026 at 10.211 Anr 2026 at 12:2031 Mar 2026 at 18:2931 Mar 2026 at 10:1030 Mar 2026 at 17:1220 Mer 10:0926 Mar 2026 at 9.5924 Mar 2026 at 10:0023 Mar 2026 at 10:0020 Mar 2026 at 11:46Mer 10:0619 Mar 2026 at 11:3510 Mar 2026 at 0:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:40.17 Mar 2026 at 10:1816 Mar 2026 at 16:5516 Mar 2026 at 10:0212 Mar 2026 at 10:1212 Mar 2026 at 10:1011 Mar 2026 at 10:0610 Mar 2026 at 9:579 Mar 2026 at 17:049 Mar 2026 at 9:56A Mor 2006 ot 0-571or 155 selected, 1.94 TB available1,02 GB144,5 MBMPEG-4 movie491.3 MB1,37 GB1,55 GBMPEG-4 movieMPEG-4 movie931.7 MBMPEG-4 movie1,86 GBMPEG-4 movie832,2 MBMPEG-4 movie724 MEMPEG-4 movie1,74 GB1,36 GB241 GbMDEG-A movieMPEG-4 movie567.8 MEMPEG-4 movie4,25 GB MPEG-4 movie698,5 MBMPEG-4 movie1.16 G:MPEG-4 movie513,4 MB MPEG-4 movie2,75 CB1.44 GbMPEG-4 movie0244 MRMDEG-A movie362.6 MB MPEG-4 movie748,8 MBMPEG-4 movie1.04 G:675 6 MP MDEG.A movid720,5 MB1,02 GEA68 GPMPEG-4 movieMDEG-A movie3,4 GBMPEG-4 movie923,6 MBMPEG-4 movie3.77 G:MPEG-4 movie641,8 MB MPEG-4 movie884,3 MB476.0 M:MPEG-4 movie550 8 MPMDEG-A movid3,44 GBMPEG-4 movie438,9 MB1.68 GEMPEG-4 movieMPEG-4 movieA20AMP MDECLA MAvid2,38 GB1.26 G:MPEG-4 movie296 2 MRMDEG-A movie705,8 MB2.78 GBMPEG-4 movie1.53 GEMPFG.A movie1,2 GB MPEG-4 movie4,19 GB MPEG-4 movie592.2 MEMPEG-4 movie1.02 GR.MDEG.A movid978.7 MBMPEG-4 movie798 7 MPMPEG-A movie404,6 MB MPEG-4 movie4,16 GB319.7 MEMPEG-4 movie0017110MPEG-4 moviejiminny• Recents* Applicalio• Downloadsii lukasiCloud• iCloud Drive992 Svnc tolde0 DXP4800PLUS-B5F ATags• CRMI• Orange• Red• Yellov• Purple'• All Tags.screenpipedb.sqlite-wa• db.sqlitescreenpipe.2026-05-12.0.logdata• LakyLak bose ac35 ll (inout) 2026-05-12 07-14-08.mpL• System Audio (output) 2026-05-12_ 07-14-07.mp401 Lakylak bose ac35 || inout) 2026-05-12 07-13-39.mo4• System Audio (output)_2026-05-12_07-13-38.mp4LakyLak bose ac35 lI (input) 2026-05-12 07-13-09.mp4• System Audio (output)_2026-05-12_07-13-08.mp4LakyLak bose ac35 Il (inout) 2026-05-12 07-12-39.mpL• System Audio (output 2026-05-12 0/-12-38.mp401 Lakvlak bose ac35 || inout) 2026-05-12 07-12-09.moz• System Audio (output) 2026-05-12_ 07-12-09.mp4• LakyLak bose qc35 lI (input)_2026-05-12_07-11-39.mp4• Svstem Audio (output) 2026-05-12_ 07-11-11.mp4al takul ak bace ac26 ll tinnut) 2026.06.12 07.11.00 mn/1 System Audio (output)_2026-05-12_07-10-42.mp4• LakyLak bose qc35 lI (input) 2026-05-12 07-10-39.mp4•1 Svctem Audio (outnut) 2026-05-12 07.10-12.mn/akvLak bose ac35 ll (input) 2026-05-12 07-10-09.mp4• System Audio (output)_ 2026-05-12_07-09-45.mp4LakvLak bose ac35 ll (inout) 2026-05-12 07-09-40.mр4• System Audio (output) 2026-05-12_ 07-09-17.mp4LakvLak bose ac35 ll (inout) 2026-05-12 07-09-10.mnL• System Audio output 2026-05-12 07-08-4/.mp4el Lakvl ak bose ac25 ll (innut) 2026-05-12 07-08-40 mn/em Audio (outout) 2026-05-12 07-08-20.mp4LakyLak bose gc35 lI (input) 2026-05-12_07-08-10.mp/@ Svstem Audio (outout) 2026-05-12 07-07-51.mр4lakul ak haco angg ll linnutl 2006. 06.12 07-07-10 mл/2026-05-12 07-07-24 mpLLakyLak bose ac35 Il (input) 2026-05-12 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07-02-06.moLB hooG nbtl1006 06 49 07 01.12 mл/# Support Daily - in 4h 45 m100% C4Date ModifiedToday at 10:14Today at 10:14Todav at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:13Todav at 10:12Today at 10:13Today at 10:13Today at 10:12Today at 10:12Today at 10:12Today at 10:11Today at 10:11Today at 10:11Today at 10:11Todav at 10:10Today at 10:10Today at 10:10Todav at 10:10Todau at 10:00Today at 10:09Today at 10:09Todav at 10:00Today at 10:08Today at 10:08Todav at 10:0%Todau at 10:09Today at 10:07Today at 10:07Todav at 10:07Todav at 10:07Today at 10:06Todav at 10:06Todou ot 10:0dToday at 10:06Todav at 10:05Todav at 10:0%Todav at 10:05Today at 10:0€Todav at 10:04Today at 10:04Today at 10:04Todav at 10:02Todau at 10:04Todav at 10:06Todav at 10:03Todav at 10:03Today at 10:03Todav at 10:02Tadau ot 40:01• Tue 12 May 10:15:0216QMR Dosumont3,85 GB40 KBLoa File1.44 GBFolder215 KB14 KB219 K:Zero bytesColdor108 KB212 KBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie250 KR206 KB220 KPMDEG-A movieMPEG-4 movieMPEG-4 movie215 K:MPEG-4 movie220 vpMPEG-4 movie219 KB226 K3212 KR221 KВMPEG-4 movieMDEG.A movidMPEG-4 movieMPEG-4 movie222 K:MDEG-A movid207 KB254 KB178 K.MDECA moMPEG-4 movie220 kpMDEG.A movid228 K:nacvo220 KPMPEG-4 movieMDEG-A movidDAGKOMPEG-4 movie125 K8MPEG-4 movie214 Kp240 KB211 KBMDEC.A movidMDFG-4 movie252 KPMDEG-A movie203 KB252 KB210 KBMPEG-4 movienл0 kp206 KB251 KBMDEC.A movidMPEG-4 movie209 KPMDSG-A movie259 KB211 KB241 K:MPEG-4 movieMPEG-A movidnAAvoTMoeehmari258 KB MPEG-4 movie212 KEMPEG-4 movie270 KR208 KP262 KB211 KPMDEG.A movidMDEG_4 movieMDEC-A movieoravo210 KB258 KBunea hmailMPEG-4 movienno vpMDEeA movid462 002 calaatad 40 04 A0 Aucilnhl)...
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FinderFavouritesjiminny(*) AirDrop• Recents* Appli FinderFavouritesjiminny(*) AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Sunc tolderL DXP4800PLUS-Bor4 Network• CRM• Orange• Red•Yellow• Greero Bue• Purple• All lags..1 27m 56s1.02 GFVIeWWindowmelpworkback/rorwarev 2026- Daily 2026-05-12 at 0945.47.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4w DalllIя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4us 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4*User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4ba Refinement 2026-04-20.mp4Dally 4020-04-20.Mp4L Daily 2026-04-17.mo4ru 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.mp4Daily 2026-04-06.mp4=Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4— Dally 2020-03-31.m04•: Refinement 2026-03-30.m04m Daily 2026-03-30.mp4Daily 2026-03-27.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.mp/F Dailv 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4• Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4н лail aлe лe лe meл88E0C000 VGroupShare Add TagsActionv Q SearchDate ModifiedToday at 10:14Today at 10:13Yesterday at 12.22Yesterday at 10:028 May 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 11:5823 Apr 2026 at 10:3221 Apr 2026 at 11:0221 Aor 2026 at 10:0020 Apr 2026 at 16:5620 Apr 2026 at 10:0617 Apr 2026 at 10:1616 Anr 2026 at 10:0014 Apr 2026 at 1/:3/14 Anr 2026 at 10:009 Apr 2026 at 14:479 Apr 2026 at 10:078Aor 2026 at 10:167 Apr 2026 at 10:016 Apr 2026 at 10:083 Apr 2026 at 10.211 Anr 2026 at 12:2031 Mar 2026 at 18:2931 Mar 2026 at 10:1030 Mar 2026 at 17:1220 Mer 10:0926 Mar 2026 at 9.5924 Mar 2026 at 10:0023 Mar 2026 at 10:0020 Mar 2026 at 11:46Mer 10:0619 Mar 2026 at 11:3510 Mar 2026 at 0:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:40.17 Mar 2026 at 10:1816 Mar 2026 at 16:5516 Mar 2026 at 10:0212 Mar 2026 at 10:1212 Mar 2026 at 10:1011 Mar 2026 at 10:0610 Mar 2026 at 9:579 Mar 2026 at 17:049 Mar 2026 at 9:56A Mor 2006 ot 0-571or 155 selected, 1.94 TB available1,02 GB144,5 MBMPEG-4 movie491.3 MB1,37 GB1,55 GBMPEG-4 movieMPEG-4 movie931.7 MBMPEG-4 movie1,86 GBMPEG-4 movie832,2 MBMPEG-4 movie724 MEMPEG-4 movie1,74 GB1,36 GB241 GbMDEG-A movieMPEG-4 movie567.8 MEMPEG-4 movie4,25 GB MPEG-4 movie698,5 MBMPEG-4 movie1.16 G:MPEG-4 movie513,4 MB MPEG-4 movie2,75 CB1.44 GbMPEG-4 movie0244 MRMDEG-A movie362.6 MB MPEG-4 movie748,8 MBMPEG-4 movie1.04 G:675 6 MP MDEG.A movid720,5 MB1,02 GEA68 GPMPEG-4 movieMDEG-A movie3,4 GBMPEG-4 movie923,6 MBMPEG-4 movie3.77 G:MPEG-4 movie641,8 MB MPEG-4 movie884,3 MB476.0 M:MPEG-4 movie550 8 MPMDEG-A movid3,44 GBMPEG-4 movie438,9 MB1.68 GEMPEG-4 movieMPEG-4 movieA20AMP MDECLA MAvid2,38 GB1.26 G:MPEG-4 movie296 2 MRMDEG-A movie705,8 MB2.78 GBMPEG-4 movie1.53 GEMPFG.A movie1,2 GB MPEG-4 movie4,19 GB MPEG-4 movie592.2 MEMPEG-4 movie1.02 GR.MDEG.A movid978.7 MBMPEG-4 movie798 7 MPMPEG-A movie404,6 MB MPEG-4 movie4,16 GB319.7 MEMPEG-4 movie0017110MPEG-4 moviejiminny• Recents* Applicalio• Downloadsii lukasiCloud• iCloud Drive992 Svnc tolde0 DXP4800PLUS-B5F ATags• CRMI• Orange• Red• Yellov• Purple'• All Tags.screenpipedb.sqlite-wa• db.sqlitescreenpipe.2026-05-12.0.logdata• LakyLak bose ac35 ll (inout) 2026-05-12 07-14-08.mpL• System Audio (output) 2026-05-12_ 07-14-07.mp401 Lakylak bose ac35 || inout) 2026-05-12 07-13-39.mo4• System Audio (output)_2026-05-12_07-13-38.mp4LakyLak bose ac35 lI (input) 2026-05-12 07-13-09.mp4• System Audio (output)_2026-05-12_07-13-08.mp4LakyLak bose ac35 Il (inout) 2026-05-12 07-12-39.mpL• System Audio (output 2026-05-12 0/-12-38.mp401 Lakvlak bose ac35 || inout) 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07-07-11.mp4@l Svctem Audio (outnut) 2026-05-12 07-06-56 mnДac35 || (input) 2026-05-12 07-06-41.mр4• System Audio (output) 2026-05-12_ 07-06-26.mp4•1 LakvLak bose ac35 || (inout) 2026-05-12 07-06-11.mo4• System Audio (output) 2026-05-12_07-05-57.mp4• lakvl ak hace ac25 ll /innutl 2026-05-12 07.05-11 mn• Svstem Audio outout) 2026-05-12 07-05-27.mo4al Lakvlak hoce ac25 ll tinnut) 2026-06-12 07-05-11 mn/ut) 2026-05-12 07-04-59.mр4• LakvLak bose ac35 II (input) 2026-05-12_07-04-42.mр4@1 Svstem Audio (outout) 2026-05-12 07-04.29.mn/LakyLak bose ac35 ll (input) 2026-05-12_ 07-04-12.mp4System Audio (output)_2026-05-12_07-04-00.mp4• LakvLak bose ac35 II (inout) 2026-05-12 07-03-42.mрДal Suctem Audio (outnut) 2026.06.12 07.02-21 mn/nout) 2026-05-12 07-02-12 mn/• System Audio (output) 2026-05-12_ 07-03-04.mp4el Lakvl ak hose ac25 ll (innut) 2026-05-12 07-02-12 mn/• Svstem Audio (output) 2026-05-12 07-02-36.mp4LakyLak bose ac35 ll (input) 2026-05-12 07-02-12.mp4• Sustem Audio (outout) 2026-05-12 07-02-06.moLB hooG nbtl1006 06 49 07 01.12 mл/# Support Daily - in 4h 45 m100% C4Date ModifiedToday at 10:14Today at 10:14Todav at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:13Todav at 10:12Today at 10:13Today at 10:13Today at 10:12Today at 10:12Today at 10:12Today at 10:11Today at 10:11Today at 10:11Today at 10:11Todav at 10:10Today at 10:10Today at 10:10Todav at 10:10Todau at 10:00Today at 10:09Today at 10:09Todav at 10:00Today at 10:08Today at 10:08Todav at 10:0%Todau at 10:09Today at 10:07Today at 10:07Todav at 10:07Todav at 10:07Today at 10:06Todav at 10:06Todou ot 10:0dToday at 10:06Todav at 10:05Todav at 10:0%Todav at 10:05Today at 10:0€Todav at 10:04Today at 10:04Today at 10:04Todav at 10:02Todau at 10:04Todav at 10:06Todav at 10:03Todav at 10:03Today at 10:03Todav at 10:02Tadau ot 40:01• Tue 12 May 10:15:0216QMR Dosumont3,85 GB40 KBLoa File1.44 GBFolder215 KB14 KB219 K:Zero bytesColdor108 KB212 KBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie250 KR206 KB220 KPMDEG-A movieMPEG-4 movieMPEG-4 movie215 K:MPEG-4 movie220 vpMPEG-4 movie219 KB226 K3212 KR221 KВMPEG-4 movieMDEG.A movidMPEG-4 movieMPEG-4 movie222 K:MDEG-A movid207 KB254 KB178 K.MDECA moMPEG-4 movie220 kpMDEG.A movid228 K:nacvo220 KPMPEG-4 movieMDEG-A movidDAGKOMPEG-4 movie125 K8MPEG-4 movie214 Kp240 KB211 KBMDEC.A movidMDFG-4 movie252 KPMDEG-A movie203 KB252 KB210 KBMPEG-4 movienл0 kp206 KB251 KBMDEC.A movidMPEG-4 movie209 KPMDSG-A movie259 KB211 KB241 K:MPEG-4 movieMPEG-A movidnAAvoTMoeehmari258 KB MPEG-4 movie212 KEMPEG-4 movie270 KR208 KP262 KB211 KPMDEG.A movidMDEG_4 movieMDEC-A movieoravo210 KB258 KBunea hmailMPEG-4 movienno vpMDEeA movid462 002 calaatad 40 04 A0 Aucilnhl)...
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NULL
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22603
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975
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11
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2026-05-12T07:15:00.384520+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570100384_m2.jpg...
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iTerm2
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FinderFavourites)jiminny(*) AirDrop• Recents* Appl FinderFavourites)jiminny(*) AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Sunc tolderL DXP4800PLUS-Bor4 NetworkO CRM• Orange• Red•Yellow• Greero Bue• Purple• All Tags..1 27m 56s1.02 GFVIeWWindowmelpworkback/rorwarev 2026• CleanShot 2026-05-12 at 09.45.47.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4wи Daily 2026-05-08.Iя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4us 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4*User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4ba Refinement 2026-04-20.mp4Daily 2026-04-20.mp4L Daily 2026-04-17.mo4ru 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.mp4Daily 2026-04-06.mp4=Daily 2026-04-03.mp4" Plannina 2026-04-01 8 tack solit mn4Dally 2020-03-31.mp4•: Refinement 2026-03-30.m04m Daily 2026-03-30.mp4Daily 2026-03-27.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4ment 2026-03-23.mo4-• 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.mpF Dailv 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4• Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4н лail aлe лe лe meл88E0C000 VGroupShare Add TagsActionv Q SearchDate ModifiedToday at 10:14Today at 10:13Yesterday at 12.22Yesterday at 10:028 May 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 11:5823 Apr 2026 at 10:3221 Apr 2026 at 11:0221 Aor 2026 at 10:0020 Apr 2026 at 16:5620 Apr 2026 at 10:0617 Apr 2026 at 10:1616 Anr 2026 at 10:0014 Apr 2026 at 1/:3/14 Anr 2026 at 10:009 Apr 2026 at 14:479 Apr 2026 at 10:078Aor 2026 at 10:167 Apr 2026 at 10:016 Apr 2026 at 10:083 Apr 2026 at 10.211 Anr 2026 at 12:2031 Mar 2026 at 18:2931 Mar 2026 at 10:1030 Mar 2026 at 17:1220 Mer 10:0926 Mar 2026 at 9.5924 Mar 2026 at 10:0023 Mar 2026 at 10:0020 Mar 2026 at 11:46Mer 10:0619 Mar 2026 at 11:3510 Mar 2026 at 0:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:40.17 Mar 2026 at 10:1816 Mar 2026 at 16:5516 Mar 2026 at 10:0212 Mar 2026 at 10:1212 Mar 2026 at 10:1011 Mar 2026 at 10:0610 Mar 2026 at 9:579 Mar 2026 at 17:049 Mar 2026 at 9:56A Mor 2006 ot 0-571 or 155 selected, 1.94 TB available1,02 GB144,5 MBMPEG-4 movie491.3 MB1,37 GB1,55 GBMPEG-4 movieMPEG-4 movie931.7 MBMPEG-4 movie1,86 GBMPEG-4 movie832,2 MBMPEG-4 movie724 MEMPEG-4 movie1,74 GB1,36 GB241 GbMDEG-A movieMPEG-4 movie567.8 MEMPEG-4 movie4,25 GB MPEG-4 movie698,5 MBMPEG-4 movie1.16 G:MPEG-4 movie513,4 MB MPEG-4 movie2,75 CB1.44 GbMPEG-4 movie0244 MRMDEG-A movie362.6 MB MPEG-4 movie748,8 MBMPEG-4 movie1.04 G:675 6 MP MDEG.A movid720,5 MB1,02 GEA68 GPMPEG-4 movieMDEG-A movie3,4 GBMPEG-4 movie923,6 MBMPEG-4 movie3.77 G:MPEG-4 movie641,8 MB MPEG-4 movie884,3 MB476.0 M:MPEG-4 movie550 8 MPMDEG-A movid3,44 GBMPEG-4 movie438,9 MB1.68 GEMPEG-4 movieMPEG-4 movieA20AMP MDECLA MAvid2,38 GB1.26 G:MPEG-4 movie296 2 MRMDEG-A movie705,8 MB2.78 GBMPEG-4 movie1.53 GEMPFG.A movie1,2 GB MPEG-4 movie4,19 GB MPEG-4 movie592.2 MEMPEG-4 movie1.02 GR.MDEG.A movid978.7 MBMPEG-4 movie798 7 MPMPEG-A movie404,6 MB MPEG-4 movie4,16 GB319.7 MEMPEG-4 movie0017110MPEG-4 moviejiminny• Recents* Applicalio• Downloadsii lukasiCloud• iCloud Drive992 Svnc tolde0 DXP4800PLUS-B5F ATags• CRMI• Orange• Red• Yellov• Bluel• Purple'• All Tags.screenpipedb.sqlite-wa• db.sqlitescreenpipe.2026-05-12.0.logdata• LakyLak bose ac35 Il (inout) 2026-05-12_ 07-14-08.mpL• System Audio (output) 2026-05-12_ 07-14-07.mp401 Lakylak bose ac35 || inout) 2026-05-12 07-13-39.mo4• System Audio (output)_2026-05-12_07-13-38.mp4LakyLak bose ac35 lI (input) 2026-05-12 07-13-09.mp4• System Audio (output)_2026-05-12_07-13-08.mp4LakyLak bose ac35 Il (inout) 2026-05-12 07-12-39.mpL• System Audio (output 2026-05-12 0/-12-38.mp401 Lakvlak bose ac35 || inout) 2026-05-12 07-12-09.moz• System Audio (output) 2026-05-12_ 07-12-09.mp4• LakyLak bose qc35 lI (input)_2026-05-12_07-11-39.mp4• Svstem Audio (output) 2026-05-12_ 07-11-11.mp4al takul ak bace ac26 ll tinnut) 2026.06.12 07.11.00 mn/1 System Audio (output)_2026-05-12_07-10-42.mp4• LakyLak bose qc35 lI (input) 2026-05-12 07-10-39.mp4•1 Svctem Audio (outnut) 2026-05-12 07.10-12.mn/akvLak bose ac35 ll (input) 2026-05-12 07-10-09.mp4• System Audio (output)_ 2026-05-12_07-09-45.mp4LakvLak bose ac35 ll (inout) 2026-05-12 07-09-40.mр4• System Audio (output) 2026-05-12_ 07-09-17.mp4LakvLak bose ac35 ll (inout) 2026-05-12 07-09-10.mnL• System Audio output 2026-05-12 07-08-4/.mp4el Lakvl ak bose ac25 ll (innut) 2026-05-12 07-08-40 mn/em Audio (outout) 2026-05-12 07-08-20.mp4LakyLak bose gc35 lI (input) 2026-05-12_07-08-10.mp/@ Svstem Audio (outout) 2026-05-12 07-07-51.mр4lakul ak haco angg ll linnutl 2006. 06.12 07-07-10 mл/2026-05-12 07-07-24 mpLLakyLak bose ac35 Il (input) 2026-05-12 07-07-11.mp4@l Svctem Audio (outnut) 2026-05-12 07-06-56 mnДac35 || (input) 2026-05-12 07-06-41.mр4• System Audio (output) 2026-05-12_07-06-26.mp4•1 LakvLak bose ac35 || (inout) 2026-05-12 07-06-11.mo4• System Audio (output) 2026-05-12_07-05-57.mp4• lakvl ak hace ac25 ll /innutl 2026-05-12 07.05-11 mn• Svstem Audio outout) 2026-05-12 07-05-27.mo4al Lakvlak hoce ac25 ll tinnut) 2026-06-12 07-05-11 mn/ut) 2026-05-12 07-04-59.mр4• LakvLak bose ac35 II (input) 2026-05-12_07-04-42.mр4@1 Svstem Audio (outout) 2026-05-12 07-04.29.mn/LakyLak bose ac35 ll (input) 2026-05-12_ 07-04-12.mp4System Audio (output)_2026-05-12_07-04-00.mp4• LakvLak bose ac35 II (inout) 2026-05-12 07-03-42.mр4al Suctem Audio (outnut) 2026.06.12 07.02-21 mn/nout) 2026-05-12 07-02-12 mn/• System Audio (output) 2026-05-12_ 07-03-04.mp4el Lakvl ak hose ac25 ll (innut) 2026-05-12 07-02-12 mn/• Svstem Audio (output) 2026-05-12 07-02-36.mp4LakyLak bose ac35 ll (input) 2026-05-12 07-02-12.mp4• Sustem Audio (outout) 2026-05-12 07-02-06.moLB hooG nbtl1006 06 49 07 01.12 mл/# Support Daily - in 4h 46 m100% C4• Tue 12 May 10:15:00Date ModifiedToday at 10:14Today at 10:14Todav at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:13Todav at 10:12Today at 10:13Today at 10:13Today at 10:12Today at 10:12Today at 10:12Today at 10:11Today at 10:11Today at 10:11Today at 10:11Todav at 10:10Today at 10:10Today at 10:10Todav at 10:10Todau at 10:00Today at 10:09Today at 10:09Todav at 10:00Today at 10:08Today at 10:08Todav at 10:0%Todau at 10:09Today at 10:07Today at 10:07Todav at 10:07Todav at 10:07Today at 10:06Todav at 10:06Todou ot 10:0dToday at 10:06Todav at 10:05Todav at 10:0%Todav at 10:05Today at 10:0€Todav at 10:04Today at 10:04Today at 10:04Todav at 10:02Todau at 10:04Todav at 10:06Todav at 10:03Todav at 10:03Today at 10:03Todav at 10:02Tadau ot 40:0116QMR Dosumont3,85 GB40 KBLoa File1.44 GBFolder215 KB14 KB219 K:Zero bytesColdo108 KB212 KBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie250 KR206 KB220 KPMDEG-A movieMPEG-4 movieMPEG-4 movie215 K:MPEG-4 movie220 vpMPEG-4 movie219 KB226 KB212 KR221 KВMPEG-4 movieMDEG.A movidMPEG-4 movieMPEG-4 movie222 K:MDEG-A movid207 KB254 KB178 K.MDECA moMPEG-4 movie220 kpMDEG.A movid228 K:nacvo220 KPMPEG-4 movieMDEG-A movidDAGKOMPEG-4 movie125 K8MPEG-4 movie214 Kp240 KB211 KBMDEC.A movidMDFG-4 movie252 KPMDEG-A movie203 KB252 KB210 KBMPEG-4 movienл0 kp206 KB251 KBMDEC.A movidMPEG-4 movie209 KPMDSG-A movie259 KB211 KB241 K:MPEG-4 movieMPEG-A movidnAAvoTMoeehmari258 KB MPEG-4 movie212 KEMPEG-4 movie270 KR208 KP262 KB211 KPMDEG.A movidMDEG_4 movieMDEC-A movieoravo210 KB258 KBunea hmailMPEG-4 movienno vpMDEeA movid462 002 calaatad 40 06 AD Aucilnhl)...
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FinderFavourites)jiminny(*) AirDrop• Recents* Appl FinderFavourites)jiminny(*) AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Sunc tolderL DXP4800PLUS-Bor4 NetworkO CRM• Orange• Red•Yellow• Greero Bue• Purple• All Tags..1 27m 56s1.02 GFVIeWWindowmelpworkback/rorwarev 2026• CleanShot 2026-05-12 at 09.45.47.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026-05-11.mo4wи Daily 2026-05-08.Iя 1-1 2026-05-07.mp4& Dailv 2026-05-07mo4us 1-1 2026-04-24.mp4= Daily 2026-04-24.mp4*User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4ba Refinement 2026-04-20.mp4Daily 2026-04-20.mp4L Daily 2026-04-17.mo4ru 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.mp4Daily 2026-04-06.mp4=Daily 2026-04-03.mp4" Plannina 2026-04-01 8 tack solit mn4Dally 2020-03-31.mp4•: Refinement 2026-03-30.m04m Daily 2026-03-30.mp4Daily 2026-03-27.mp4= Dallv 2026-03-26.m04B Daily 2026-02-24 mn4ment 2026-03-23.mo4-• 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.mpF Dailv 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4• Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4н лail aлe лe лe meл88E0C000 VGroupShare Add TagsActionv Q SearchDate ModifiedToday at 10:14Today at 10:13Yesterday at 12.22Yesterday at 10:028 May 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 11:5823 Apr 2026 at 10:3221 Apr 2026 at 11:0221 Aor 2026 at 10:0020 Apr 2026 at 16:5620 Apr 2026 at 10:0617 Apr 2026 at 10:1616 Anr 2026 at 10:0014 Apr 2026 at 1/:3/14 Anr 2026 at 10:009 Apr 2026 at 14:479 Apr 2026 at 10:078Aor 2026 at 10:167 Apr 2026 at 10:016 Apr 2026 at 10:083 Apr 2026 at 10.211 Anr 2026 at 12:2031 Mar 2026 at 18:2931 Mar 2026 at 10:1030 Mar 2026 at 17:1220 Mer 10:0926 Mar 2026 at 9.5924 Mar 2026 at 10:0023 Mar 2026 at 10:0020 Mar 2026 at 11:46Mer 10:0619 Mar 2026 at 11:3510 Mar 2026 at 0:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:40.17 Mar 2026 at 10:1816 Mar 2026 at 16:5516 Mar 2026 at 10:0212 Mar 2026 at 10:1212 Mar 2026 at 10:1011 Mar 2026 at 10:0610 Mar 2026 at 9:579 Mar 2026 at 17:049 Mar 2026 at 9:56A Mor 2006 ot 0-571 or 155 selected, 1.94 TB available1,02 GB144,5 MBMPEG-4 movie491.3 MB1,37 GB1,55 GBMPEG-4 movieMPEG-4 movie931.7 MBMPEG-4 movie1,86 GBMPEG-4 movie832,2 MBMPEG-4 movie724 MEMPEG-4 movie1,74 GB1,36 GB241 GbMDEG-A movieMPEG-4 movie567.8 MEMPEG-4 movie4,25 GB MPEG-4 movie698,5 MBMPEG-4 movie1.16 G:MPEG-4 movie513,4 MB MPEG-4 movie2,75 CB1.44 GbMPEG-4 movie0244 MRMDEG-A movie362.6 MB MPEG-4 movie748,8 MBMPEG-4 movie1.04 G:675 6 MP MDEG.A movid720,5 MB1,02 GEA68 GPMPEG-4 movieMDEG-A movie3,4 GBMPEG-4 movie923,6 MBMPEG-4 movie3.77 G:MPEG-4 movie641,8 MB MPEG-4 movie884,3 MB476.0 M:MPEG-4 movie550 8 MPMDEG-A movid3,44 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07-02-06.moLB hooG nbtl1006 06 49 07 01.12 mл/# Support Daily - in 4h 46 m100% C4• Tue 12 May 10:15:00Date ModifiedToday at 10:14Today at 10:14Todav at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:13Todav at 10:12Today at 10:13Today at 10:13Today at 10:12Today at 10:12Today at 10:12Today at 10:11Today at 10:11Today at 10:11Today at 10:11Todav at 10:10Today at 10:10Today at 10:10Todav at 10:10Todau at 10:00Today at 10:09Today at 10:09Todav at 10:00Today at 10:08Today at 10:08Todav at 10:0%Todau at 10:09Today at 10:07Today at 10:07Todav at 10:07Todav at 10:07Today at 10:06Todav at 10:06Todou ot 10:0dToday at 10:06Todav at 10:05Todav at 10:0%Todav at 10:05Today at 10:0€Todav at 10:04Today at 10:04Today at 10:04Todav at 10:02Todau at 10:04Todav at 10:06Todav at 10:03Todav at 10:03Today at 10:03Todav at 10:02Tadau ot 40:0116QMR Dosumont3,85 GB40 KBLoa File1.44 GBFolder215 KB14 KB219 K:Zero bytesColdo108 KB212 KBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie250 KR206 KB220 KPMDEG-A movieMPEG-4 movieMPEG-4 movie215 K:MPEG-4 movie220 vpMPEG-4 movie219 KB226 KB212 KR221 KВMPEG-4 movieMDEG.A movidMPEG-4 movieMPEG-4 movie222 K:MDEG-A movid207 KB254 KB178 K.MDECA moMPEG-4 movie220 kpMDEG.A movid228 K:nacvo220 KPMPEG-4 movieMDEG-A movidDAGKOMPEG-4 movie125 K8MPEG-4 movie214 Kp240 KB211 KBMDEC.A movidMDFG-4 movie252 KPMDEG-A movie203 KB252 KB210 KBMPEG-4 movienл0 kp206 KB251 KBMDEC.A movidMPEG-4 movie209 KPMDSG-A movie259 KB211 KB241 K:MPEG-4 movieMPEG-A movidnAAvoTMoeehmari258 KB MPEG-4 movie212 KEMPEG-4 movie270 KR208 KP262 KB211 KPMDEG.A movidMDEG_4 movieMDEC-A movieoravo210 KB258 KBunea hmailMPEG-4 movienno vpMDEeA movid462 002 calaatad 40 06 AD Aucilnhl)...
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22601
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22601
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2026-05-12T07:14:58.523047+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570098523_m2.jpg...
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Finderravoiijiminny(*) AirDrop• Recents* Applicati Finderravoiijiminny(*) AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Sunc tolderL DXP4800PLUS-Bor4 Network• CRM• Orange• Red•Yellow• Greero Bue• Purple• All Tags..1 27m 56s1.02 GFVIeWWindowmelpworkback/rorwareNamev 2026• CleanShot 2026-05-12 at 09.45.47.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026- Open Withiai Daily 2026-CIEя 1-1 2026-05Moye to Binws 1-1 2026-04-•= 1-12202-0- Ratinto= Daily 2026-04-24.mp4*User Pilot introduction Adi 2026-04-23.mp4nDaily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4ba Refinement 2026-04-20.mp4Daily 2026-04-20.mp4L Daily 2026-04-17.mo4ru Daily 2026-04-16.mp4wи 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.mp4Daily 2026-04-06.mp4=Daily 2026-04-03.mp4lax Planning 2026-04-01 & task split.mp4Hi Retro 2026-03-31.mp4— Dally 2020-03-31.m04•: Refinement 2026-03-30.m04m Daily 2026-03-30.mp4Daily 2026-03-27.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.mp/F Daily 2026-03-12.mp4aa Daily 2026-03-11.mn/Dailv 2026-03-10.mp4• Refinement 2026-03-09.mp4na Daily 2026-03-09.mo4н лail aлe лe лe meл88E0C000 VGroupShare Add Tagsv Q SearchDate ModifiedToday at 10:14Today at 10:13Yesterday at 12.22Yesterday at 10:028 May 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 11:5823 Apr 2026 at 10:3221 Apr 2026 at 11:0221 Aor 2026 at 10:0020 Apr 2026 at 16:5620 Apr 2026 at 10:0617 Apr 2026 at 10:1616 Anr 2026 at 10:0014 Apr 2026 at 1/:3/14 Anr 2026 at 10:009 Apr 2026 at 14:479 Apr 2026 at 10:078Aor 2026 at 10:167 Apr 2026 at 10:016 Apr 2026 at 10:083 Apr 2026 at 10.211 Anr 2026 at 12:2031 Mar 2026 at 18:2931 Mar 2026 at 10:1030 Mar 2026 at 17:1220 Mer 10:0926 Mar 2026 at 9.5924 Mar 2026 at 10:0023 Mar 2026 at 10:0020 Mar 2026 at 11:46:0619 Mar 2026 at 11:3510 Mar 2026 at 0:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:40.17 Mar 2026 at 10:1816 Mar 2026 at 16:5516 Mar 2026 at 10:0212 Mar 2026 at 10:1212 Mar 2026 at 10:1011 Mar 2026 at 10:0610 Mar 2026 at 9:579 Mar 2026 at 17:049 Mar 2026 at 9:56A Mor 2006 ot 0-571or 155 selected, 1.94 TB available1,02 GB144,5 MEMPEG-4 movie491.3 MB1,37 GB1,55 GBMPEG-4 movieMPEG-4 movie931.7 MBMPEG-4 movie1,86 GBMPEG-4 movie832,2 MBMPEG-4 movie724 MEMPEG-4 movie1,74 GB1,36 GB241 GbMDEG-A movieMPEG-4 movie567.8 MEMPEG-4 movie4,25 GB MPEG-4 movie698,5 MBMPEG-4 movie1.16 G:MPEG-4 movie513,4 MB MPEG-4 movie2,75 CB1.44 GbMPEG-4 movie0244 MRMDEG-A movie362.6 MB MPEG-4 movie748,8 MBMPEG-4 movie1.04 G:675 6 MP MDEG.A movid720,5 MB1,02 GEMPEG-4 movieA68 GPMDEG-A movie3,4 GBMPEG-4 movie923,6 MBMPEG-4 movie3.77 G:MPEG-4 movie641,8 MB MPEG-4 movie884,3 MB476.0 M:MPEG-4 movie550 8 MPMDEG-A movie3,44 GBMPEG-4 movie438,9 MB1.68 GEMPEG-4 movieMPEG-4 movieA20AMP MDECLA MAvid2,38 GB1.26 G:MPEG-4 movie296 2 MRMDEG-A movie705,8 MB2.78 GBMPEG-4 movie1.53 GEMPFG.A movie1,2 GB MPEG-4 movie4,19 GB MPEG-4 movie592.2 MEMPEG-4 movie1.02 GR.MDEG.A movid978.7 MBMPEG-4 movie798 7 MPMPEG-A movie404,6 MB MPEG-4 movie4,16 GB319.7 MEMPEG-4 movie0017110MPEG-4 movie# Support Daily - in 4h 46 m100% C4• Tue 12 May 10:14:58ravourtesjiminny• Recents* Applicalio9 Documents• Downloadsii lukasiCloud• iCloud Drive992 Svnc tolde0 DXP4800PLUS-B5F A49 NetworkTags• CRMI• Orange• Red• Yellov• Bluel• Purple'• All Tags.screenpipedb.sqlite-wal• db.sqlite• screenpipe.2026-05-12.0.10gdata• LakyLak bose ac35 ll (inout) 2026-05-12 07-14-08.mpL• System Audio (output) 2026-05-12_ 07-14-07.mp401 Lakylak bose ac35 || inout) 2026-05-12 07-13-39.mo4• System Audio (output)_2026-05-12_07-13-38.mp4• LakyLak bose ac35 lI (input) 2026-05-12_07-13-09.mp4• System Audio (output)_2026-05-12_07-13-08.mp4LakyLak bose ac35 Il (inout) 2026-05-12 07-12-39.mpL• System Audio (output 2026-05-12 0/-12-38.mp401 Lakvlak bose ac35 || inout) 2026-05-12 07-12-09.moz• System Audio (output) 2026-05-12_ 07-12-09.mp4• LakyLak bose qc35 lI (input)_2026-05-12_07-11-39.mp4• Svstem Audio (output) 2026-05-12_ 07-11-11.mp4al takul ak bace ac26 ll tinnut) 2026.06.12 07.11.00 mn/1 System Audio (output)_2026-05-12_07-10-42.mp4• LakyLak bose qc35 lI (input) 2026-05-12 07-10-39.mp4•1 Svctem Audio (outnut) 2026-05-12 07.10-12.mn/akvLak bose ac35 ll (input) 2026-05-12 07-10-09.mp4• System Audio (output)_ 2026-05-12_07-09-45.mp4LakvLak bose ac35 ll (inout) 2026-05-12 07-09-40.mр4• System Audio (output) 2026-05-12_ 07-09-17.mp4LakvLak bose ac35 ll (inout) 2026-05-12 07-09-10.mnL• System Audio output 2026-05-12 07-08-4/.mp4el Lakvl ak bose ac25 ll (innut) 2026-05-12 07-08-40 mn/stem Audio (outout) 2026-05-12 07-08-20.mp4LakyLak bose gc35 lI (input) 2026-05-12_07-08-10.mp/@ Svstem Audio (outout) 2026-05-12 07-07-51.mр4LakyLak bose ac35 ll (input) 2026-05-12_07-07-40.mp4System Audio (output)_2026-05-12_07-07-24.mp/LakyLak bose ac35 Il (input) 2026-05-12 07-07-11.mp4@l Svctem Audio (outnut) 2026-05-12 07-06-56 mnДac35 || (input) 2026-05-12 07-06-41.mр4• System Audio (output) 2026-05-12_07-06-26.mp4•1 LakvLak bose ac35 || (inout) 2026-05-12 07-06-11.mo4• System Audio (output) 2026-05-12_07-05-57.mp4• lakvl ak hace ac25 ll /innutl 2026-05-12 07.05-11 mnout 2026-05-2 07-05-27.m04al Lakvlak hoce ac25 ll tinnut) 2026-06-12 07-05-11 mn/out) 2026-05-12 07-04-59.mp/• LakvLak bose ac35 II (input) 2026-05-12_07-04-42.mр4@1 Svstem Audio (outout) 2026-05-12 07-04-29.mn/LakyLak bose ac35 ll (input) 2026-05-12_ 07-04-12.mp4System Audio (output)_2026-05-12_07-04-00.mp4• LakvLak bose ac35 lI (inout) 2026-05-12 07-03-42.mрДal Suctem Audio (outnut) 2026.06.12 07.02-21 mn/nout) 2026-05-12 07-02-12 mn/• System Audio (output) 2026-05-12_ 07-03-04.mp4el Lakvl ak hose ac25 ll (innut) 2026-05-12 07-02-12 mn/• Svstem Audio (output) 2026-05-12 07-02-36.mp4LakyLak bose ac35 ll (input) 2026-05-12 07-02-12.mp4• Sustem Audio (outout) 2026-05-12 07-02-06.moLB hooG nbtl1006 06 49 07 01.12 mл/Date ModifiedToday at 10:14Today at 10:14Todav at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:14Today at 10:13Todav at 10:12Today at 10:13Today at 10:13Today at 10:12Today at 10:12Today at 10:12Today at 10:11Today at 10:11Today at 10:11Today at 10:11Todav at 10:10Today at 10:10Today at 10:10Todav at 10:10Todau at 10:00Today at 10:09Today at 10:09Todav at 10:00Today at 10:08Today at 10:08Todav at 10:0%Todau at 10:09Today at 10:07Today at 10:07Todav at 10:07Todav at 10:07Today at 10:06Todav at 10:06Todou ot 10:0dToday at 10:06Todav at 10:05Todav at 10:0%Todav at 10:05Today at 10:0€Todav at 10:04Today at 10:04Today at 10:04Todav at 10:02Todau at 10:04Todav at 10:06Todav at 10:03Todav at 10:03Today at 10:03Todav at 10:02Tadau ot 40:0116QMR Dosumont3,85 GB40 KBLoa File1.44 GBFolder215 KB14 KB219 K:Zero bytesColdo108 KB212 KBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie250 KR206 KB220 KPMDEG-A movieMPEG-4 movieMPEG-4 movie215 K:MPEG-4 movie220 vpMPEG-4 movie219 KB226 KB212 KR221 KВMPEG-4 movieMDEG.A movidMPEG-4 movieMPEG-4 movie222 K:MDEG-A movid207 KB254 KB178 K.MDECA moMPEG-4 movie220 kpMDEG.A movid228 K:nacvo220 KPMPEG-4 movieMDEG-A movidDAGKOMPEG-4 movie125 K8MPEG-4 movie214 Kp240 KB211 KBMDEC.A movidMDFG-4 movie252 KPMDEG-A movie203 KB252 KB210 KBMPEG-4 movienл0 kp206 KB251 KBMDEC.A movidMPEG-4 movie209 KPMDSG-A movie259 KB211 KB241 K:MPEG-4 movieMPEG-A movidnAAvoTMoeehmari258 KB MPEG-4 movie212 KEMPEG-4 movie270 KR208 KP262 KB211 KPMDEG.A movidMDEG_4 movieMDEC-A movieoravo210 KB258 KBunea hmailMPEG-4 movienno vpMDEeA movid462 002 calaatad 40 06 AD Aucilnhl)...
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Finderravoiijiminny(*) AirDrop• Recents* Applicati Finderravoiijiminny(*) AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Sunc tolderL DXP4800PLUS-Bor4 Network• CRM• Orange• Red•Yellow• Greero Bue• Purple• All Tags..1 27m 56s1.02 GFVIeWWindowmelpworkback/rorwareNamev 2026• CleanShot 2026-05-12 at 09.45.47.mp4_ PLanhat Petko interest event 2026-05-11.mp4• Dailv 2026- Open Withiai Daily 2026-CIEя 1-1 2026-05Moye to Binws 1-1 2026-04-•= 1-12202-0- Ratinto= Daily 2026-04-24.mp4*User Pilot introduction Adi 2026-04-23.mp4nDaily 2026-04-22 mn/wn Refinement 2026-04-06.mp4• Dailv 2026-04-21.mo4ba Refinement 2026-04-20.mp4Daily 2026-04-20.mp4L Daily 2026-04-17.mo4ru Daily 2026-04-16.mp4wи Planning 2026-04-15.mp4. 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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570097016_m2.jpg...
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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
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
Name
Date Modified
Size
Kind
2026
Today at 10:14
--
Folder
CleanShot 2026-05-12 at 09.45.47.mp4
Today at 10:13
1,02 GB
MPEG-4 movie
PLanhat Petko interest event 2026-05-11.mp4
Yesterday at 12:22
144,5 MB
MPEG-4 movie
Daily 2026-05-11.mp4
Yesterday at 10:02
491,3 MB
MPEG-4 movie
Daily 2026-05-08.mp4
8 May 2026 at 10:22
1,37 GB
MPEG-4 movie
1-1 2026-05-07.mp4
7 May 2026 at 18:21
1,55 GB
MPEG-4 movie
Daily 2026-05-07.mp4
7 May 2026 at 10:10
931,7 MB
MPEG-4 movie
1-1 2026-04-24.mp4
24 Apr 2026 at 14:44
1,86 GB
MPEG-4 movie
Daily 2026-04-24.mp4
24 Apr 2026 at 10:11
832,2 MB
MPEG-4 movie
User Pilot introduction Adi 2026-04-23.mp4
23 Apr 2026 at 11:58
724 MB
MPEG-4 movie
Daily 2026-04-23.mp4
23 Apr 2026 at 10:32
1,74 GB
MPEG-4 movie
Daily 2026-04-22.mp4
22 Apr 2026 at 10:21
1,36 GB
MPEG-4 movie
Refinement 2026-04-06.mp4
21 Apr 2026 at 11:02
2,41 GB
MPEG-4 movie
Daily 2026-04-21.mp4
21 Apr 2026 at 10:00
567,8 MB
MPEG-4 movie
Refinement 2026-04-20.mp4
20 Apr 2026 at 16:56
4,25 GB
MPEG-4 movie
Daily 2026-04-20.mp4
20 Apr 2026 at 10:06
698,5 MB
MPEG-4 movie
Daily 2026-04-17.mp4
17 Apr 2026 at 10:16
1,16 GB
MPEG-4 movie
Daily 2026-04-16.mp4
16 Apr 2026 at 10:00
513,4 MB
MPEG-4 movie
Planning 2026-04-15.mp4
15 Apr 2026 at 11:14
2,75 GB
MPEG-4 movie
Retro 2026-04-14.mp4
14 Apr 2026 at 17:37
1,44 GB
MPEG-4 movie
Daily 2026-04-14.mp4
14 Apr 2026 at 10:09
924,4 MB
MPEG-4 movie
User pilot (Adi) 2026-04-09.mp4
9 Apr 2026 at 14:47
362,6 MB
MPEG-4 movie
Daily 2026-04-09.mp4
9 Apr 2026 at 10:07
748,8 MB
MPEG-4 movie
Daily 2026-04-08.mp4
8 Apr 2026 at 10:13
1,04 GB
MPEG-4 movie
Daily 2026-04-07.mp4
7 Apr 2026 at 10:01
575,5 MB
MPEG-4 movie
Daily 2026-04-06.mp4
6 Apr 2026 at 10:08
720,5 MB
MPEG-4 movie
Daily 2026-04-03.mp4
3 Apr 2026 at 10:21
1,02 GB
MPEG-4 movie
Planning 2026-04-01 & task split.mp4
1 Apr 2026 at 12:20
4,68 GB
MPEG-4 movie
Retro 2026-03-31.mp4...
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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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THE LEADING CUSTOMER PLATFORM
THE LEADING CUSTOMER PLATFORM
The next generation has arrived
Planhat is recognized by both industry analysts and customers as a global leader in deploying AI-led automation for go-to-market teams.
880+ reviews
G2 Momentum Grid and Leader in 9 Categories.
Magic Quadrant™ for Customer Success Management Platforms
MarketScape for Worldwide Customer Success Applications
PLATFORM
Deploy with confidence
Deploy with
confidence
Planhat is architected to equip agents and humans with everything they need to execute with clarity and control.
Context
TRAINING
Collaboration
EXECUTION
Agents
INPUT
CONTEXT
Planhat constructs a comprehensive living model of your customers and commercial operations spanning traditional CRM data, rich time series data, SOPs and external telemetry.
APPLICATIONS One platform, built to power your reality
APPLICATIONS
One platform, built to power your reality
One platform, built to power your reality
Deploy Planhat as a CSP, CRM, PSA or a powerful all-in one configured to put artificial and human intelligence to work across the full lifecycle.
CUSTOMER SUCCESS
SALES & GTM
PROFESSIONAL SERVICES
CUSTOM BUILD
Dynamically score health
Dynamically score health
Use analytics along with input from humans and AI to deploy adaptable scoring that gauges whether customers are truly thriving or failing.
Capture every touchpoint
Capture every touchpoint
Planhat automatically gathers transcripts, emails, tickets and every other interaction—allowing you to focus on execution, not admin.
Sync seamlessly with Sales
Sync seamlessly with Sales
Use Planhat together with all major CRMs to ensure you get the full picture and move in sync with your entire organization.
SERVICES
SERVICES
Don't buy hypotheticals. Buy outcomes.
Don't buy hypotheticals.
Buy outcomes.
Planhat dispatches forward-deployed teams that work shoulder-to-shoulder with you to deliver real-world outcomes.
34 % MORE CUSTOMERS PER CSM
34
%
MORE CUSTOMERS PER CSM
+ 300 HOURS SAVED ANNUALLY PER PERSON
+
300
HOURS SAVED ANNUALLY PER PERSON
900 % SEAT EXPANSION
900
%
SEAT EXPANSION
21 % LESS CHURN
21
%
LESS CHURN
Operational
efficiency
Revenue
impact
FORWARD-DEPLOYED TEAMS AI Deployment Program Real-world commercial outcomes delivered at unprecedented speeds.
FORWARD-DEPLOYED TEAMS
FORWARD-DEPLOYED TEAMS
AI Deployment Program
AI Deployment Program
Real-world commercial outcomes delivered at unprecedented speeds.
PROCESS AUTOMATION Value Framework A system of processes architected to deliver commercial outcomes.
PROCESS AUTOMATION
PROCESS AUTOMATION
Value Framework
Value Framework
A system of processes architected to deliver commercial outcomes.
PLANHAT FOR Service-Intensive Software Continuously unlock the value your customers need. Planhat is a system of action that empowers you to define and track customer objectives, identify value opportunities, run collaborative cross-functional workflows, and report on ROI.
PLANHAT FOR
Service-Intensive Software
Service-Intensive Software
Continuously unlock the value your customers need. Planhat is a system of action that empowers you to define and track customer objectives, identify value opportunities, run collaborative cross-functional workflows, and report on ROI....
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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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outcomes.","depth":9,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"PROCESS AUTOMATION","depth":11,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"PROCESS AUTOMATION","depth":12,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Value Framework","depth":11,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Value Framework","depth":12,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A system of processes architected to deliver commercial outcomes.","depth":12,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"PLANHAT FOR Service-Intensive Software Continuously unlock the value your customers need. Planhat is a system of action that empowers you to define and track customer objectives, identify value opportunities, run collaborative cross-functional workflows, and report on ROI.","depth":9,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"PLANHAT FOR","depth":12,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Service-Intensive Software","depth":10,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Service-Intensive Software","depth":11,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Continuously unlock the value your customers need. Planhat is a system of action that empowers you to define and track customer objectives, identify value opportunities, run collaborative cross-functional workflows, and report on ROI.","depth":12,"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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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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THE LEADING CUSTOMER PLATFORM The next generation has arrived Planhat is recognized by both industry analysts and customers as a global leader in deploying AI-led automation for go-to-market teams.
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Service-Intensive Software
Continuously unlock the value your customers need. Planhat is a system of action that empowers you to define and track customer objectives, identify value opportunities, run collaborative cross-functional workflows, and report on ROI....
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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 - Google Search
planhat - 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":4,"bounds":{"left":0.24617687,"top":0.5442937,"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"}]...
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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 - 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...
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2026-05-12T07:14:47.909300+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-12/1778 /Users/lukas/.screenpipe/data/data/2026-05-12/1778570087909_m2.jpg...
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planhat - Google Search — 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 - Google Search
planhat - 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 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\"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
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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
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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