Jamie AI
An AI meeting assistant that turns your calls into structured notes, decisions, and action items without joining the meeting as a bot.
Last verified Jul 14, 2026
An AI meeting assistant that turns your calls into structured notes, decisions, and action items without joining the meeting as a bot.
Last verified Jul 14, 2026
Fast-read signals for fit, pricing, and trust.
Jamie AI records system audio locally and produces summaries, decisions, and tasks in your language. It suits solo professionals and small teams who take a lot of meetings and want privacy-conscious notes without a meeting bot appearing on screen.
Jamie AI is a meeting-notes assistant built around a simple idea: capture the audio your computer already plays, then transcribe and summarize it, without dialing a recorder bot into the call. Because it works at the system-audio level, it runs the same way across Zoom, Google Meet, Microsoft Teams, in-person conversations, and phone calls, which is useful if your week is spread across several platforms. After a meeting ends, Jamie produces a structured output: a narrative summary, the decisions that were made, and a list of action items you can copy into a task tool. Bot-based meeting recorders — the most common alternative — join calls as visible participants, which can shift tone in sensitive or external meetings; Jamie's system-audio approach sidesteps that entirely. The product leans into two differentiators. The first is the no-bot approach, which matters for external or sensitive calls where a visible "is recording" participant changes the tone of the room. The second is multilingual handling; Jamie transcribes and summarizes in a range of European languages, and its pricing and interface reflect a European user base. For a solo consultant, recruiter, or founder who lives in back-to-back calls, the value is mostly in never having to write up notes again and in having a searchable record of what was agreed. Honest limitations are worth weighing. System-audio capture means Jamie summarizes what your machine can hear, so poor audio, heavy cross-talk, or muted participants degrade quality the same way they would for any transcription tool. It is a notetaker rather than a full revenue-intelligence or CRM-sync platform, so teams that need deep sales analytics, coaching scorecards, or tight CRM automation will find it lighter than category heavyweights. Pricing is quoted in euros and several tiers reflect annual billing, so the monthly-equivalent framing needs a careful read before you commit. For its target user, though, the combination of bot-free capture, multilingual summaries, and a genuinely free entry tier makes it an easy tool to trial against your own meetings before deciding.
Quick fit check against how you actually work.
What you can actually do with this tool.
Records system audio locally so no visible recorder joins the call, keeping external meetings natural.
Works the same across Zoom, Meet, Teams, in-person, and phone calls without per-platform setup.
Separates a narrative recap from explicit decisions and action items so follow-up is fast.
Handles a range of European languages natively, useful for cross-border teams.
Surfaces tasks you can copy into your task manager instead of re-reading the whole transcript.
Keeps a record you can revisit to confirm what was actually agreed.
Lets you validate accuracy on your own meetings before paying.
Pricing tiers and what's included in each.
Jamie AI has a free tier covering 10 meetings a month with no card required. Paid plans start at €21/mo (Plus), with Pro at €39/mo and Team at €33/seat/mo on annual billing; Enterprise is custom-quoted.
A short path to first value.
Common questions about this tool, answered.
No. It captures system audio on your device, so no recorder appears in the participant list.
Because it works at the audio level, it covers Zoom, Google Meet, Microsoft Teams, in-person meetings, and phone calls.
Yes — a free tier covers 10 meetings per month without a credit card.
It transcribes and summarizes in a range of European languages natively.
Summaries are only as good as what your machine can hear, so heavy cross-talk or muted participants will reduce accuracy.
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