Take meeting notes that write themselves

The point of notes is the follow-up, not a transcript nobody reads. AI captures and structures so you can actually be present in the meeting. Always tell people it's being recorded.

Turn on an AI notetaker and let it transcribe; after the call ask for a short summary plus action items. Instead of leaving with a vague memory and a few cryptic scribbles, you leave with a clean record of what was decided. One ground rule: tell people it's being captured — recording without consent is rude and, in places, illegal.

A summary that lists 'discuss budget' is useless; 'Sam to send the revised budget by Friday' drives action. Push for structure: every action item needs an owner and a due date, and decisions kept separate from open questions. Then close the loop fast — send the action items to the room within the hour, while attention is warm.

One transcript can produce several tailored outputs: a terse action list for the doers, a context-rich summary for someone who missed it, a one-line update for a busy exec. Then track across meetings — feed a series of a recurring meeting's notes and ask which action items keep slipping. That turns notes from a record into an early-warning system.

1. 1Turn on your AI notetaker and tell participants it's recording.
2. 2After the call, get a summary plus action items with owners and dates.
3. 3Send the action items to the room within the hour.
4. 4For recurring meetings, review past notes to catch what keeps slipping.

Meeting prompts