“AI meeting assistant” now covers two quite different products. One kind listens to your call and gives you a record of it afterward. The other kind tries to help you during the call, while what you say next can still change how it goes. Both are useful. They solve different problems, and picking the wrong one is a common reason people try a meeting tool and quietly stop using it.
The short answer
An AI notetaker records or transcribes a meeting and produces notes when it ends: a summary, action items, decisions, often a follow-up email. Its job is memory. You get value from it after you hang up.
An AI meeting copilot listens while the call is happening and helps you in the moment. It might suggest an answer to the question you were just asked, remind you of a fact, or tell you that you’ve been talking for a while. Its job is the conversation itself. You get value from it before you hang up.
The line between them is blurring. Several notetakers now show a live transcript or live notes, and some copilots, Telmi included, also write full notes after the call. But the core question is still useful: when do you need the help?
What an AI notetaker does well
Notetakers are the older and more mature category, and the best of them are very good at a few things:
- A reliable record. You stop typing during calls and still have the details. For back-to-back meetings this alone is worth a lot.
- Sharing with a team. Notes land in shared folders or a workspace, so people who weren’t on the call can catch up.
- Integrations. Notes and action items flow into CRMs, docs, and automation tools. Granola, Otter, Fireflies, and Fathom all list CRM or workflow integrations on their pricing pages.
- Search across many calls. “What did the customer say about renewal in March?” becomes a search, not a memory test.
- Compliance and admin. Larger companies need SSO, audit logs, and data controls. The established notetakers offer these on higher tiers.
Well-known examples include Otter, Fireflies, Fathom, and Granola, which calls itself an AI notepad because it combines your own typed notes with the transcript.
What an AI meeting copilot does well
A copilot is built for the person talking. The hard part isn’t writing a good answer. It’s writing it fast enough. On a call you have about a second between the end of a question and the moment you need to start speaking. A suggestion that shows up three seconds later is worse than none, because now you’re reading and talking at once.
So a useful copilot has to get a few things right:
- Speed. The answer should be on screen as the question ends, or sooner. Telmi does this by starting answers while a question is still forming and by predicting likely next questions ahead of time. We wrote up how that works.
- Grounding. A suggestion is only safe to say if it’s true. That means answers drawn from your own material, like product docs, pricing, or past answers, rather than whatever the model guesses.
- Length. One or two sentences you can say out loud, not a paragraph to skim while someone waits.
- Restraint. It should stay quiet when you don’t need it. A copilot that pops up on every sentence becomes something you learn to ignore.
Telmi and Cluely are both in this category: both listen on your computer and show live answers during the call.
How the tool hears the call
The second big difference has nothing to do with AI. It’s how the tool gets the audio, and it affects every call you take.
Meeting bots join the call as a participant. They appear in the attendee list with a name like “Notetaker”, record from the meeting platform, and send notes afterward. This works well for recording and lets the tool see each speaker separately. The cost is social: the other people on the call see it, and some will ask about it or ask you to remove it.
Device audio tools run on your own computer and listen to your microphone and your computer’s sound. Nothing joins the call. Granola, Cluely, and Telmi work this way, and Fathom offers it as a beta option on Mac. The tradeoff is that the app has to be running on the computer you take the call on. We wrote more about why Telmi has no meeting bot.
Either way, tell people you’re taking notes. Recording and consent rules vary by place, and it’s the decent thing to do.
Side by side
| Feature | AI meeting copilot | AI notetaker |
|---|---|---|
| Main job | Help you say the right thing now | Remember what was said |
| When you get value | During the call | After the call |
| What matters most | Speed, accuracy, brevity | Accuracy, search, sharing |
| Typical audio capture | Your own computer, no bot | Often a bot; some use device audio |
| Built for | The person on the call | The person, and often their team |
| Where it can go wrong | Distracting or wrong suggestions | Notes nobody reads |
Which one do you need?
Ask yourself what goes wrong on your calls today.
You probably want a notetaker if your calls go fine but you lose the details afterward, if other people need to read your notes, if you need meetings logged into a CRM automatically, or if your company requires SOC 2, SSO, or admin controls before you can use a tool at all.
You probably want a copilot if the hard part is the call itself: a prospect asks about pricing and you blank, an interviewer asks something you prepared for and you can’t find the words, or you notice afterward that you talked through the whole thing. Founders doing their own sales, people new to a role, and anyone answering technical questions live tend to land here.
Many people want both. Some products try to cover both jobs. Telmi does: live answers, nudges, and delivery controls during the call, then a summary, action items, a follow-up email, and coaching afterward. But it covers both for one person, on a Mac. It has no team workspace, no CRM integrations, and no SOC 2 report yet. If you need those, an established notetaker is the better fit today, and you can read our roundup of Otter alternatives to compare a few.
A quick test before you choose
Whatever you try, judge it on one real call, not a demo:
- Did anyone on the call notice or ask about the tool?
- For a copilot: did a suggestion arrive in time to use, and would you have said it?
- For a notetaker: did you open the notes again, and were they right?
- Did the tool fit how you already work, or did you have to change your routine?
The tool that passes on your third ordinary call, not your first exciting one, is the one you’ll still be using in a month.