Role

Hire your AI scribe

Meeting notes, action items, and a searchable memory — run by chat.

Your AI Scribe joins every meeting you let it, produces honest summaries instead of meeting-theater recaps, extracts action items with real owners, and builds a searchable memory so 'what did we decide about pricing in March' becomes a 10-second query. The institutional memory your team never had.

Free to startNo credit card requiredUpdated Apr 2026

What your AI Scribe does

01Join meetings via Google Meet, Zoom, or Teams and transcribe with speaker attribution
02Produce a meeting summary in a standard format: decisions, action items, open questions
03Extract action items with a named owner and a date; push to your task system
04Cross-reference today's decisions with prior meetings; flag contradictions for review
05Build a searchable memory of every discussion, decision, and rationale
06Generate weekly and monthly highlights from the meeting archive
07Redact sensitive content on request (legal, HR) while keeping the decisions searchable
08Coordinate with the AI Chief of Staff to turn raw notes into published minutes

Workflows on autopilot

Meeting join and transcribe
Auto-joins scheduled meetings you've opted in. Transcribes with speaker attribution. Produces a first-pass summary within 10 minutes of meeting end.
Action item extraction
Parses transcript for explicit and implicit commitments. Assigns owner, date, and context. Pushes to your task system with a link back to the meeting.
Decision archaeology
Before any strategic meeting, the Scribe pre-loads: 'last time you talked about X, you decided Y because Z'. Context shows up as part of the meeting prep.
Contradiction flagger
When a new decision contradicts a prior one, the Scribe flags it with both transcripts linked. Prevents accidental reversals nobody noticed.
Weekly recap
Every Friday: a 1-page summary of the week's decisions and open questions across all attended meetings. Ships to founder and leadership.
Memory search
Natural language query against the archive: 'why did we pick Stripe over Paddle in Q1' returns the meeting, the decision, and the rationale in 10 seconds.

Without vs With a AI Scribe

Without
  • Meeting notes are a Google Doc someone forgot to fill in
  • Action items get said and forgotten by Wednesday
  • You repeat the same strategic discussion because nobody remembers last month's decision
  • A human scribe costs $60K+/year and is bored by week 3
  • Three people leave, institutional memory leaves with them
With Tycoon
  • Every meeting has a standard summary within 10 minutes of ending
  • Every commitment extracted with owner and date, pushed to your task system
  • Pre-meeting prep includes 'last time you decided X because Y'
  • AI scribe runs every meeting without complaint at a fraction of the cost
  • Memory lives in a searchable archive independent of any single human

A day in the life of your AI Scribe

09:00
Joins the leadership sync. Transcribes 45 minutes with speaker attribution. Summary in Notion by 09:55 with 7 action items pushed to Linear.
11:00
Joins a customer call. Extracts 3 feature requests and 1 churn risk signal. Pushes feature requests to the product backlog, flags churn risk to AI CEO.
13:30
Pre-loads the pricing review meeting at 14:00: 'last pricing discussion was March 4, decision was to hold; here's the reasoning'. Delivers to calendar.
14:00
Scribes the pricing meeting. Flags that today's proposal contradicts the March 4 decision. Attaches both transcripts for review.
16:00
Query from founder: 'why did we pick Vercel over Cloudflare last year'. Returns the meeting, transcript timestamp, and rationale in 10 seconds.
18:00
Closes day: 5 meetings scribed, 23 action items extracted, 1 contradiction flagged, weekly recap drafted for Friday.

Tools your AI Scribe uses

Granola, Fathom, or Otter for meeting transcriptionGoogle Meet, Zoom, and Microsoft Teams native integrationsNotion or Obsidian for the searchable memoryLinear, Asana, or Todoist for action item pushingSlack or Discord for post-meeting summariesGoogle Drive or Dropbox for the transcript archiveA vector database (Pinecone, Weaviate, or local) for semantic searchTycoon skill marketplace for transcription, summary, and action-item skills

Frequently asked questions

Do participants know the AI is recording?

Yes, always. Tools like Granola and Fathom join as a visible participant named 'Meeting Notes' or similar; Zoom and Google Meet show a recording indicator. You can configure the display name and join behavior. Teams running Tycoon typically tell guests at the top of the call ('heads up, we take AI notes for our records') and honor any request to stop recording. This is both a legal best practice (two-party consent states) and a trust norm — nobody likes being secretly recorded, and the product works better when participants can speak freely because they know the norm.

How accurate are the summaries?

For decision-tracking, very. Modern transcription is 95%+ accurate on clear audio, and the summary layer compresses to decisions and action items, which is where the signal lives. Where errors happen: heavy accents, overlapping speech, jargon-dense discussions (deep technical or legal), and meetings conducted partly in a second language. In those cases the AI Scribe marks low-confidence sections for human review. Most founders report the summaries are better than what a human scribe would have produced because the AI doesn't get tired or check out in the fourth hour.

What about confidential meetings (HR, legal, board)?

Opt-out by default for sensitive meeting types. You mark them as 'founder-only' or 'legal' in your calendar and the AI Scribe skips them. For meetings where transcription is necessary but sensitive (board discussions), you can opt-in with extra controls: redact specific names or topics, store the archive in a restricted folder, delete after 30 days. The Scribe can also operate in 'decisions-only' mode that keeps the outcomes searchable but discards the verbatim transcript. The trade-off between memory and privacy is explicit, not hidden.

How does it handle meetings in multiple languages?

Transcription supports 40+ languages natively; summaries in English, Spanish, Portuguese, French, German, Japanese, Korean, and Mandarin are first class. For meetings that mix languages (founder in English, customer in Japanese), the Scribe produces a bilingual summary or a single-language summary with faithful translation, depending on your team's preference. Customer calls in the customer's language stay in that language with an English summary for the founder to skim.

Does it replace an EA's note-taking or a CoS's meeting notes?

It replaces the mechanics, not the judgment. The AI Scribe produces the raw transcript, the decisions, and the action items. The AI Executive Assistant or Chief of Staff turns those into published minutes with appropriate framing for the audience (board memo vs. team recap vs. customer follow-up). The handoff between Scribe and CoS compresses what used to be a 45-minute post-meeting task into 10 minutes of review. For solo founders, the Scribe's output is often enough without a further layer.

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