Google Meet's AI notes are a recap engine: they transcribe the call, write a summary, and hand you a notes doc after everyone hangs up. A meeting teammate is a participant: it listens live, pulls answers and research while you talk, and pushes follow-ups into Slack, Notion, or Linear before the meeting ends. If you need a record, Meet's notes are great. If meetings stall because someone has to look things up or chase work afterward, that's the gap a teammate fills.
The short answer
Google Meet's AI documents your meeting; a teammate AI works inside it. That single distinction explains every difference below. Meet's Gemini-powered notes are built to capture what was said and summarize it once the call is over. A meeting teammate is built to listen in real time, act while the conversation is happening, and deliver finished work, not just a record of it.
Both are useful. They solve different problems. The mistake teams make is assuming a good recap means the meeting itself got better. It didn't. The meeting ran exactly the same way; you just got a cleaner write-up afterward.
What Google Meet's AI actually does
Google Meet's AI, surfaced through Gemini in Meet, handles a tight set of jobs well. Knowing the boundary matters before you decide whether it's enough.
Live captions and transcription
Meet transcribes the conversation in real time and offers captions in multiple languages. This is genuinely helpful for accessibility and for anyone joining a call in a second language. The transcript becomes the raw material for everything else the AI produces.
Post-meeting summary and notes
After the call, Meet generates a "take notes for me" document: a summary, key points, and suggested next steps, saved to Google Docs and shared with attendees. For recurring meetings, this is a real time-saver compared to assigning a human notetaker.
Ask questions about the transcript
You can query Gemini about what happened in a recorded meeting: "What did we decide about the launch date?" It answers from the transcript. The catch is timing. You ask after the fact, once the moment that needed the answer has already passed.
What a meeting teammate does differently
A meeting teammate is defined by when it works, not just what it produces. It operates during the live conversation, the same window a human colleague would.
The difference isn't accuracy or polish. It's timing. Notes arrive after the room has moved on. A teammate acts while the room is still in the moment that needs help.
Real-time research
Someone asks "what was our churn last quarter?" mid-discussion. A teammate pulls the number while the sentence is still landing, instead of leaving it as a "let's circle back" that ends up in the notes and never gets answered.
Live document and context retrieval
A teammate references the same docs the team does. Mention a spec, a competitor, a past decision, and it surfaces the relevant material on screen without anyone leaving the call to dig through Drive.
Action during the meeting, not after
When the team agrees on an owner and a deadline, a teammate can log the task in Linear, draft the follow-up in Slack, or capture the decision in Notion before the call ends. The work is done, not queued.
A side-by-side comparison
Here is how the two compare on the dimensions that decide which one a team actually needs.
When it works
Google Meet AI: mostly after the meeting. Captions are live, but the summary and notes land once the call ends.
Teammate AI: during the meeting, in real time, as the conversation unfolds.
Primary output
Google Meet AI: a transcript and a summary doc.
Teammate AI: answers, research, and finished follow-up work routed to your tools.
Action
Google Meet AI: suggests next steps in the notes; you still execute them.
Teammate AI: executes during the call: creates tasks, drafts messages, logs decisions.
Memory
Google Meet AI: per-meeting documents stored in Drive; you search across them manually.
Teammate AI: continuous team memory that carries context from one meeting into the next.
Best fit
Google Meet AI: teams that mainly need a reliable record and a recap.
Teammate AI: teams whose meetings stall on lookups, notes, and follow-up.
Where Google Meet's notes are the right call
Google Meet's AI notes win when a faithful record is the goal. If your meetings already run smoothly and the only pain is "nobody wants to write the notes," Meet solves that cleanly, and it's built into a tool you already pay for. There's no new vendor, no new permission to grant, no new app in the stack.
It's also a sensible default for low-stakes recurring calls: status updates, standups where decisions are simple, all-hands where a recap for absentees is the entire point. For those, a real-time teammate would be overkill.
Where the notes-only approach falls short
The gap appears the moment a meeting needs work done, not just recorded. Watch for these patterns:
- "Let's circle back on that." A question comes up that no one can answer in the room, so it gets parked. The notes faithfully record the open question, and it stays open.
- The cleanup shift. The meeting ends and someone spends 30 minutes turning the summary into actual tasks, messages, and updates. The notes didn't save that work; they just described it.
- Lookups break flow. Someone pulls up a dashboard or doc mid-call, the room goes quiet, and momentum drops. A recap can't fix something that happened during the meeting.
None of these are failures of Google Meet's AI. They're just outside what a recap tool is designed to do. The work that happens inside a meeting needs something that works inside the meeting.
How to decide for your team
Ask one question: where does your meeting pain actually live? Run through these three checks.
- Is the pain documentation or execution? If people just want a clean record, Meet's notes are enough. If meetings slow down or follow-ups slip, you need a teammate.
- Do answers arrive too late? If "we'll find out and circle back" is a regular line in your calls, real-time research is the fix, and notes can't provide it.
- Who does the post-meeting work? If someone burns time after every call converting notes into tasks and messages, a teammate removes that shift entirely.
Most teams land on both. Keep Google Meet's notes for the archive and accessibility, and add a teammate for the live work. They don't compete; they cover different halves of the same meeting.
Where relly sits
relly is a meeting teammate, not a notes tool. It joins your call over Google Meet, Zoom, or Microsoft Teams, listens like a participant, and does the work while you talk: real-time research, live document retrieval, and follow-ups pushed straight into Slack, Notion, and Linear before the call ends. You can keep using Google Meet's notes for the record; relly handles the part that needs to happen during the meeting.
If your team's meetings stall on lookups and pile up follow-up work afterward, early access gets you in before public launch, with 50% off for your first 12 months. No card needed until launch.
Common questions
What does Google Meet's AI do in a meeting?
Google Meet's AI, branded as Gemini in Meet, transcribes the call, generates a summary, and produces a notes document after the meeting ends. It also offers live captions and can answer questions about the transcript. Its work centers on capturing and recapping the conversation, not participating in it while it happens.
What's the difference between AI notes and an AI meeting teammate?
AI notes record and summarize a meeting after it happens, so the output arrives once the room has moved on. An AI meeting teammate listens during the call, surfaces research and answers in real time, and routes follow-up work to your tools while the conversation is still live. One documents the meeting; the other does work inside it.
Can Google Meet AI take action during the call?
No. Google Meet's AI captures and summarizes but does not act on the conversation in real time. It will not pull a document the moment someone references it, run live research mid-discussion, or create a task while the team is still talking. Those actions need an AI built to participate, not just record.
Do you still need a teammate AI if you already have Google Meet notes?
If your only goal is a record of what was said, Google Meet's notes are enough. If meetings slow down because someone has to look things up, take notes by hand, or chase follow-ups afterward, a teammate AI closes that gap by doing the work live. Many teams run both: notes for the archive, a teammate for the live work.
Want an AI that works during the meeting, not after?
relly joins your next Google Meet call and does the work while your team talks. Early access is open now, with 50% off for your first year.
Claim early access →