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Prompt

Meeting Intelligence Extraction Prompt

Extract decisions, commitments, risks, and follow-ups from transcripts.

1 min read

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Use after transcription to turn raw meeting text into operational records. Extract decisions, commitments, risks, and follow-ups from transcripts.

Extract decisions, commitments, risks, and follow-ups from transcripts. Use after transcription to turn raw meeting text into operational records. Copy the prompt below, swap the bracketed variables for your own context, and run it in any capable model.
Context
Use after transcription to turn raw meeting text into operational records.
Prompt
Analyze this transcript and return structured meeting intelligence.

Transcript: {{transcript}}
Meeting context: {{meeting_context}}

Return JSON with: decisions, action_items[{owner, task, deadline}], risks, open_questions, customer_signals, follow_up_message, knowledge_base_updates.
Example Output
{ "decisions": ["Prioritize onboarding flow"], "action_items": [{"owner":"Ana", "task":"Send revised plan", "deadline":"Friday"}] }
Related Workflow
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What does the Meeting Intelligence Extraction Prompt prompt do?

Use after transcription to turn raw meeting text into operational records.

Which AI models work with this prompt?

It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.

How do I use this prompt?

1) Copy the prompt with the copy button. 2) Replace every bracketed variable with your real details. 3) Paste it into your AI assistant. 4) Compare the answer with the example output and ask for changes if needed.

What output should I expect?

{ "decisions": ["Prioritize onboarding flow"], "action_items": [{"owner":"Ana", "task":"Send revised plan", "deadline":"Friday"}] }.

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