Work / Own product
CASE 004 / OWN PRODUCT / AI MEETING NOTES

Autonomous AI meeting notes

Meeting notes are the classic manual chore: someone takes them, someone forgets, and the quality swings with whoever held the pen. I built a system that produces them hands-off after every call: a bot joins the meeting, transcribes who said what, and files speaker-attributed notes into Google Docs before anyone asks.

0manual steps per meeting
~$0idle cost, scale-to-zero
whosaid what: speaker-attributed
everyinvited call covered
RoleDesigner & builder (solo)
TimelineOwn product, ongoing
IndustryProductivity / meetings
TypeOwn IP, end-to-end AI

The challenge

Note-taking tools mostly ask a human to do something: click record, upload a file, paste a link. The goal here was zero touches: invite one account to a meeting and the notes simply appear afterward. That forces some hard engineering: a bot has to join Google Meet like a real participant, capture clean audio in a headless container, know who was speaking, survive long meetings without running out of memory, and do all of it on infrastructure that costs nothing while no meeting is happening.

The approach

A pipeline of small, single-purpose stages: Apps Script watches the calendar and fires a Cloud Run Job per meeting; the job joins, records, and transcribes; Gemini turns the transcript into notes; the notes land in a per-day Google Doc. Everything scales to zero between calls.

SYSTEM ARCHITECTURE// note-taker pipeline
Trigger
Apps Scriptpolls Google Calendar
Join
Cloud Run JobPlaywright headless bot, joins Meet as an invited account
Transcribe
faster-whisperspeech-to-text
live captionsspeaker attribution
Summarize
Gemininotes, decisions, action items
Deliver
Google Docsspeaker-attributed notes, per-day docs
Session seed
noVNC login captureseeds the bot's Google session once

What I built

Results

0touches from invite to notes
~$0infrastructure cost at idle
per-dayGoogle Docs, auto-organized
namedspeakers in every transcript

Invite one account to a meeting and the work is done: the bot shows up, listens, and files speaker-attributed notes into that day's Google Doc. Because every stage scales to zero, the whole system costs close to nothing when nobody is meeting. Own product, built end to end on Apps Script, Cloud Run Jobs, Playwright, faster-whisper, Gemini, and the Google Docs API.

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