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 sparks.

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.

Open @vustbot in TelegramPay per action · no signup beyond Telegram

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 sparks with the price shown before you confirm

Worked example: summarize meeting notes with ai

Input

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.

Output

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

  1. 1
    Get 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.

  2. 2
    Paste 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.

  3. 3
    Check 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

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