Resource
Executive Summary Prompt
Summary, Why It Matters, What Happens Next — the executive summary contract for readers who will never open the source.
Summarize Meeting Transcripts with AI
The board-grade version: strict fidelity, critical quotes preserved, decisions and commitments as the formal record.
Overview
Some meeting summaries are briefings; this one is a record. The board setup runs the executive structure under Strict Fidelity — no invented information, no unsupported conclusions, numbers and names exactly as spoken — with Preserve Critical Quotes, because a paraphrased commitment is a changed commitment. The transcript reading guidance handles the medium's mess: people repeat and contradict themselves, and the final statement of a topic usually reflects the decision. Action items land in their own section with owner and deadline.
How to use this resource
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Feed the raw transcript
No cleanup needed — the reading guidance expects repetition, cross-talk, and self-correction.
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Trust the last-statement rule
"The final statement of a topic usually reflects the decision" — the line that stops early drafts of a decision from becoming the record.
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Audit the quotes
Critical quote mode keeps commitments verbatim and attributed — check them against the transcript once, then trust the pattern.
Why This Works
- Strict fidelity suits records: an honest gap beats a smoothed-over invention
- Verbatim commitments survive the meeting → summary → decision chain intact
- Transcript-specific guidance handles spoken-language mess that generic prompts trip on
Best for
- Board secretaries and governance teams
- Meetings whose summaries get quoted later
- Records where "roughly what was said" is not good enough
Not for
- Quick async catch-ups — the Executive Meeting Summary preset is the lighter sibling
- Extracting attendee lists and dates as data fields — that's extraction
Use cases
- Producing the formal record of board and leadership meetings
- Preserving commitments in their exact spoken wording
- Separating what was decided from what was merely discussed
FAQ
How does this board-meeting prompt handle a transcript where people contradict themselves?
The reading guidance expects it: "People repeat and contradict themselves; the final statement of a topic usually reflects the decision." That last-statement rule stops an early draft of a decision from becoming the record. The structured-summary-prompt produces this summary prompt; you still audit the output against the transcript, since it reads the source but can't verify the meeting.
Will this prompt paraphrase a commitment someone made, or keep the exact words?
It keeps exact words. QUOTE RULES require commitments, numbers, legal language, and disputed claims to keep their original wording and attribution — "Never paraphrase a statement whose exact wording carries weight." FIDELITY RULES also preserve numbers, dates, and names exactly. Check the quotes against the transcript once, then trust the pattern.
What goes in a section that has no supporting content in the transcript?
It writes "Not covered in the source" rather than filling it. FIDELITY RULES forbid inventing information, inferring unsupported conclusions, or adding missing context, and the ## Action Items section is omitted entirely if the source contains no commitments. A short faithful section beats a padded invented one — the honest gap is the point.
More resources from Structured Summary Prompt
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Structured Summary Prompt — the Anatomy
The blocks a reliable summary prompt needs: source guidance, a fixed section skeleton, length budgets, fidelity rules, and quote handling.
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Stop AI Summaries from Making Things Up
The fidelity ladder: Balanced, High, Strict — and the six-rule battery that keeps a summary inside its source.
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Markdown Output Prompt — Lock the Document Structure
The contract that stops AI documents from restructuring themselves: a pinned section skeleton, forced tables, and strict consistency rules.
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Extract Data From Text with AI
Free text in, named fields out. The extraction prompt pattern that turns any unstructured text into consistent, parseable records.
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Fix a Vague Prompt
'Make it good', 'be detailed', 'keep it interesting' — vague prompts get vague output. The fix is mechanical: replace every fuzzy word with a checkable instruction.
Related tools
Tool
Structured Summary Prompt
Build summary prompts with fixed sections, length caps, and no-invention fidelity rules.
Projects that use this resource
Project
Build an AI Meeting Assistant with AI
The full path to an AI meeting assistant — define the use case, turn transcripts into structured notes, extract decisions and action items, classify follow-ups, write a shareable summary, evaluate accuracy, then ready it for the team.
Workflows that use this resource
Workflow
AI Meeting Notes Workflow
Turn a meeting transcript into notes people actually use — a faithful summary, the action items pulled out and assigned, and a clean shareable format.
Guides for this resource
Guide
Turn a Meeting Transcript Into Decisions and Actions
"Summarize this transcript" turns suggestions into decisions, invents deadlines, and drops owners. Here's how to extract decisions, action items, owners, deadlines, and open questions instead — each with evidence and a needs_review flag, and "not stated" for what's missing.