Summarize Meeting Notes with AI
Paste your meeting transcript or raw notes into @vustbot in Telegram and ask for a structured summary: decisions, open questions, next steps. The AI works from whatever text you already have — an export from your video tool, typed notes, even a message thread — and returns minutes in one reply, priced per action in Balance.
Otter and Fireflies solve this by joining your calls and recording them. VUST deliberately doesn't: no bot in the meeting, no calendar access — you bring the transcript you already have, and the model does the distillation. Different trade-off, much smaller footprint.
What the AI does in this scenario
- Works from ANY text source: transcript export, typed notes, chat thread
- Structured output: decisions, open questions, owners, next steps
- Nothing joins or records your call — you control what gets pasted
- Re-run with Claude, GPT-5-class or Gemini to compare summary styles
- Per-action Balance with the price shown before you confirm
Worked example: summarize meeting notes with ai
01Input — what you paste
Anna: budget freeze until Q3 confirmed by finance. Marek: then we cut the paid pilot, keep organic only. Anna: agreed, revisit June 15. Tom: I'll tell the agency tomorrow.
02Output — what comes back
Summary — Budget sync. Decision: paid pilot cut for Q2, organic channel continues (agreed by Anna, Marek). Reason: finance confirmed budget freeze until Q3. Actions: Tom informs the agency (tomorrow). Revisit: June 15.
How to summarize meeting notes with ai — step by step
- 1Get the text out of the meeting
Export the transcript from your video tool, or use your own typed notes — even messy fragments work. VUST never joins the call itself; the text you paste is the entire input.
- 2Paste with one shaping line
Send it to @vustbot with "summarize as minutes: decisions, open questions, action items with owners". The shape request is what turns a wall of dialogue into a scannable document.
- 3Check names and numbers, then file it
Scan the output against your memory of the meeting — the model compresses faithfully but you attended, it didn't. Thirty seconds of review, then forward or archive.
AI vs doing it manually
Writing minutes yourself forces a useful re-read — for a high-stakes meeting that friction is a feature. But for the weekly sync, manual minutes decay into "notes nobody writes": the honest comparison isn't AI vs your best effort, it's AI vs no minutes at all. The model turns a 40-minute transcript into a one-screen digest in seconds; your job shrinks to verifying the two or three facts that matter. Note the boundary: recorder tools like Otter capture the meeting for you; VUST only distills text you already possess.
The prompt to copy
Summarize this meeting into minutes. Sections: Decisions (with who agreed), Open questions, Action items (owner + deadline if stated), Key context in 2 sentences. Keep every name and number exactly as written. Do not invent owners or dates. Transcript: [PASTE TRANSCRIPT OR NOTES]
Frequently asked questions
Does VUST join or record my meetings like Otter or Fireflies?
No — and that's the design. Recorder tools put a bot in your call; VUST has no meeting, calendar or Zoom access at all. You paste the transcript or notes you already have into @vustbot, and only that pasted text is processed. Nothing to install, nothing sitting in your calls.
My transcript is messy auto-captions — can AI still summarize it?
Yes, and this is where the model earns its keep: it reads through misheard words and broken sentences to the underlying decisions. Flag it in the prompt ("this is a rough auto-transcript") and double-check proper names in the output — those are what auto-captions garble most.
How long a meeting transcript can I paste into Telegram?
A Telegram message caps around 4,000 characters, so paste an hour-long transcript in a few consecutive messages and then ask for the summary — the chat keeps context. For most meetings, the decision-heavy last third is the part worth pasting anyway.
Related in Meetings
Try it on your real task
The welcome bonus covers a first run — send the prompt above with your own facts and judge the output yourself.
Open @vustbot