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What’s the best way to prompt for accurate meeting notes?

Provide agenda, participants, and decisions made. Ask for action items with owners and dates, unresolved questions, and risks. Keep summaries short and structured so teams act on them. For long meetings, generate a sectioned outline first, then a final concise summary.

In practice

Request a one-paragraph ‘decision log’—it’s gold for future context.

Where to start

  1. [01]Build a meeting summary template with owners and deadlines.
  2. [02]Test on 5 recordings and refine your rubric.
  3. [03]Push action items into your task system via structured output.
  4. [04]Review accuracy with attendees for a month.
meeting notes AIaction items promptsLLM minutes summary

Related questions

// 001What is prompt engineering?// 002What's the difference between prompt engineering and traditional programming?// 003How can prompts improve accessibility?// 004How can prompting boost my personal productivity?

Build it properly.

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Open source · Python