Example Inputs
Meeting Goal
Decide launch scope for Q2 feature release
Participants
Product, engineering, marketing
Constraint
Engineering bandwidth limited for the next 3 weeks
Convert messy notes or transcripts into a cleaner summary, decisions log, and owner-based action plan.
This prompt helps you make meetings more usable after they end. It turns transcripts, notes, or Loom summaries into a concise recap with responsibilities and next steps.
Copy-And-Paste Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
Act as a chief of staff organizing messy meeting notes into clear follow-up. Your task is to summarize a meeting and turn it into a practical action plan with owners, deadlines, and unresolved questions. Use these inputs when available: - [Meeting Notes or Transcript] - [Meeting Goal] - [Participants or Teams] - [Any Known Deadlines or Dependencies] Requirements: - Separate discussion from decisions. - List action items with owners and suggested timing. - Call out open questions and blockers. - Keep the summary readable enough to post in Slack or email. Return the answer in this format: 1. Executive summary 2. Decisions made 3. Action items by owner 4. Open questions and risks Tone and style: organized and no-nonsense Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Meeting Goal
Decide launch scope for Q2 feature release
Participants
Product, engineering, marketing
Constraint
Engineering bandwidth limited for the next 3 weeks
Decision made: move the advanced dashboard filters out of the initial release. Action item: Marketing to revise launch messaging by Friday based on the updated scope.
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
These related calculators and guides add more depth when you want to connect this business prompt to real numbers, strategy, or supporting tools.
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Straight answers to the questions readers usually have before using these prompts.
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.