AI meeting summary

The problem: transcripts are long, follow-ups are short

A one-hour meeting produces thousands of words of transcript. Nobody reads that back. What people actually need afterwards is much smaller: what was decided, who is doing what by when, and what is still open. Writing that recap by hand is the step most often skipped, which is why decisions get re-discussed and action items quietly disappear.

An AI meeting summary closes that gap. A language model reads the full transcript and produces a structured recap that you can check in a minute and send in two.

What the default summary includes

Noteo’s default summary prompt asks the model to structure the recap around the things teams act on:

• Meeting summary: key points per topic, insights and roadblocks raised
• Decisions made: a bullet list of concrete agreements
• Action items: the task, the person or team assigned, and the deadline when one was mentioned
• Unresolved issues and follow-ups that need another discussion
• Next steps and priorities

Who it is for

AI summaries help anyone who runs recurring meetings and owns the follow-up: project and product managers after stand-ups and planning sessions, sales teams after discovery calls, consultants after client workshops, and team leads who need a written record for people who could not attend. If you write your own recap format, for example for sales qualification notes or sprint reviews, save it as a custom prompt and reuse it.

Worked example: a weekly project sync

A project manager invites the Noteo bot to a 40-minute weekly sync on Microsoft Teams. When the transcript is ready, she opens the Summary tab and generates a summary with the default template. It lists the three decisions taken (for example, pushing a release by a week), five action items with the names mentioned in the call, and one open question about budget that nobody owned.

She checks the owners and dates against the transcript, then copies the summary into her follow-up email. For the client-facing version, she regenerates with a saved custom prompt called “Client recap” that leaves out internal discussion. Both versions stay attached to the meeting. Later, she uses Chat to ask “What did we say about the testing environment?” instead of searching the transcript.

Cloud processing and Local mode

Summaries and Chat are generated by a cloud language model, so they are only available in Cloud mode, and they are disabled while the desktop app is in Local mode. This is deliberate: Local mode is for people who want transcription with no upload at all. If your meeting is too sensitive for cloud processing, transcribe it locally and write the recap yourself. For everything else, Cloud mode writes the first draft of the recap for you.

How it compares, and its limits

Writing minutes by hand gives you full control but takes time after every meeting. Generic AI chat tools can summarize a pasted transcript, but you copy text around and lose the link to the meeting. In Noteo, the summary, the transcript and your prompts live in one place.

Like any language-model output, a summary can miss nuance, merge points, or attribute a task to the wrong person, and it can only be as good as the transcript underneath. Deadlines and owners only appear if they were actually said in the meeting. Treat the summary as a draft: skim it against the transcript before you send it.