Always-on Meeting AI is live · free plan, paid from $20/mo · last verified 22 Oct 2026 · viability healthy
Always-on Meeting AI
Botless macOS meeting agent that captures your computer's audio and writes an instruction-shaped note live while the call is still running.
If the requirement is that notes exist before the meeting ends, SuperIntern's instruction-driven AI Canvas is the most literal answer available — you get the artifact live, not forty minutes later. Botless capture on Mac keeps the participant list clean and sidesteps bot-consent friction entirely, which Otter.ai and Fireflies.ai bot-join flows cannot claim. The last mile is the weak spot: no native Salesforce or HubSpot writeback, so RevOps builds that path through MCP or the newer Slack, Notion and Linear connectors. Buy it if you are a Mac team that lives in structured recurring meetings; skip it if you are cross-platform or need CRM sync out of the box.
Verdict generatedVerified 8d ago · liveness 75/100 · cite: rightaichoice.com/tools/always-on-meeting-ai
- Mac-based product and engineering teams running recurring structured meetings
- Privacy-conscious teams that refuse to let a bot appear in the participant list
- Consultants, HR interviewers and account managers who need minutes without visible note-taking
- Teams already working in Claude desktop, Cursor or ChatGPT who want MCP-based follow-up
- Windows-first or mixed-OS organisations
- Sales orgs expecting out-of-the-box Salesforce or HubSpot record sync
- Teams that need native webinar recording, streaming or event hosting
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Skip SuperIntern if your team is Windows-first or if you need automatic Salesforce or HubSpot logging without building an MCP bridge yourself.
Plus includes 100 hours per month, then charges $0.02/min — an hour of overage costs $1.20, which adds up fast if you record all-hands and long workshops.
Plus at $20/month sits level with typical Otter.ai and Fireflies.ai paid seats, and Team at $35/month per person is in the same band as team plans from those vendors while adding workspace permissions. Enterprise is contact-sales with SSO and admin feature controls. For a solo Mac user, Free costs nothing and Plus at $20/month is the only step up until you need shared meeting data.
In short
Always-on Meeting AI — Botless macOS meeting agent that captures your computer's audio and writes an instruction-shaped note live while the call is still running. Best for Mac-based product and engineering teams running recurring structured meetings, Privacy-conscious teams that refuse to let a bot appear in the participant list, Consultants, HR interviewers and account managers who need minutes without visible note-taking. Free to start; paid plans from $20/mo.
What is Always-on Meeting AI?
Always-on Meeting AI — Botless macOS meeting agent that captures your computer's audio and writes an instruction-shaped note live while the call is still running. Best for Mac-based product and engineering teams running recurring structured meetings, Privacy-conscious teams that refuse to let a bot appear in the participant list, Consultants, HR interviewers and account managers who need minutes without visible note-taking. Free to start; paid plans from $20/mo.
SuperIntern is a macOS desktop app that records meetings by tapping your computer's audio directly, so no bot joins the participant list and no plugin or extension is needed for Zoom, Google Meet, Microsoft Teams or Webex. It detects meetings from your connected calendar and pops up on its own when a call starts. The centrepiece is the AI Canvas: you save an instruction once — the structure of your weekly sync, your role's standard agenda — and the note fills that exact structure in real time while people talk. Live transcription with speaker diarization runs underneath, a custom dictionary keeps names and jargon spelled right, and live caption translation can swap language positions on the divider mid-session. Invisible mode keeps translated text on your screen only. When you label a speaker the system missed, SuperIntern now learns that voice for later meetings, and you can add participants from recent and upcoming calendar events and assign them to speakers. The vendor states your meeting data is not used to train AI models, third parties cannot access recordings without your permission, and it has a SOC 2 Type II audit in progress. October 2026 releases added Recall-style desktop recording fixes, device pickers for microphone and system audio, 8-hour auto-stop, and an auto-stop three minutes after three minutes of silence. The post-meeting layer runs through MCP and app integrations. Changelog v0.19.41–0.19.58 added Slack, Notion and Linear connections you can query or post to from AI chat, with admin limits on Team and Enterprise; Claude desktop, Cursor and ChatGPT can reach transcripts and draft Google Docs minutes, post decisions to Chatwork with task owners, push commitments into Todoist with due dates, or update Kintone records. Against Otter.ai and Fireflies.ai the differentiators are botless capture and the always-present desktop footprint; native Salesforce or HubSpot record sync is where it thins out and you build the bridge yourself.
Key features
- Botless desktop audio capture — no bot appears in the participant list
- AI Canvas auto-writes a saved instruction structure live during the call
- Live transcription with automatic speaker diarization
- Live caption translation with a swap-languages control on the divider
- Invisible mode keeps translated text on your screen only
- Speaker identification that learns from your manual speaker labels
- Add participants from recent and upcoming calendar events and assign them to speakers
- Device pickers set microphone and system audio once for every recording
- 8-hour auto-stop plus stop 3 minutes after 3 minutes of silence
- Failed meetings explain why and auto-clear from the list
- Custom dictionary with keyword search and bulk add (CSV, Markdown, pasted rows)
- Calendar-based meeting detection with automatic pop-up at call start
- In-meeting AI chat for research, speaking support and status checks
- AI chat searches across ongoing and past meetings plus web search
- Inline citation icons in chat answers link back to the meeting or app source
Behind the verdict
SuperIntern is best understood as a note-writing instrument rather than a library. Otter.ai and Fireflies.ai optimise for the archive — thousands of searchable transcripts with a summary bolted on afterwards. SuperIntern optimises for the artifact you are going to send. You save an instruction once (for example "## Progress per member / ## Decisions needed / ## Roadmap impact / ## Next actions") and the AI Canvas fills that structure while the call is still happening. For a PM running a weekly sync or an engineer in sprint planning, that is the difference between a note you edit for twenty minutes and a note you paste into Slack. The botless design is the second real advantage and it is not cosmetic. Because SuperIntern reads your computer's audio locally rather than joining as a participant, there is no "SuperIntern (bot)" row to explain to a client, no consent prompt from the meeting host, and no awkward negotiation in an HR interview or a customer call. The trade-off is honest: where all-party consent laws apply, the vendor itself tells you to announce the recording, and you are still sending audio to a cloud service — the vendor says your data is not used to train models and that third parties cannot access recordings without permission, with a SOC 2 Type II audit in progress, but this is not an offline transcriber. Mac-only is the constraint that decides most evaluations. There is a Windows client referenced in the changelog (a Rewind recording fix on Windows), but the capture story and the DMG download the vendor markets are macOS. Cross-platform organisations will feel that immediately. The October 2026 releases are where the product got noticeably more useful after the call. Slack, Notion and Linear became connected apps you can query or post to from AI chat, with Team and Enterprise admins restricting which apps and actions members can use. Chat answers now carry inline citation icons that open the meeting or connected-app source behind each statement — a small feature that matters a lot when you are quoting a client back to your own team. Speaker identification learns from your manual labels, so one correction improves future meetings rather than being thrown away. Calendar-based participant assignment means invitee names line up with voices as soon as a recording ends. Device pickers lock microphone and system audio once. Two safety nets exist: recordings stop after 8 hours, and if three minutes pass with no speech the app checks in and stops three minutes later. The post-meeting workflow is MCP-first. Claude desktop, Cursor and ChatGPT can reach your transcripts; the vendor's own guides show drafting Google Docs minutes, posting decisions to Chatwork with task owners, pushing commitments into Todoist with due dates, and updating Kintone records. This is flexible and cheap, and it is also work — there is no native Salesforce or HubSpot record sync, so if your RevOps motion depends on automatic CRM logging, you are building and
Models under the hood
as of 2026-10-22
Limitations
- Recording laws vary by region — where all-party consent applies, let everyone know before you record.
- The core capture experience is a Mac desktop app, so Windows-first or mixed-OS teams are not served by the native app.
- Plus includes 100 hours per month with $0.02/min after that, and Free plan AI chat usage is limited.
- The vendor does not name the underlying AI models on its site.
as of 2026-10-17
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Is Always-on Meeting AI still active?
Always-on Meeting AI is live · free plan, paid from $20/mo · last verified 22 Oct 2026 · viability healthy.
Viability score
How well maintained and how widely used is Always-on Meeting AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What's new in Always-on Meeting AI
Checked 5 days agoAcross the latest 9 updates: 2 feature updates, 2 changelog entries and 5 news mentions.
SuperIntern admin guide for Team and Enterprise plans
Admin guide covers inviting members, restricting external app connections and URL sharing, and enabling SSO, MCP access, and external apps on Enterprise.
Guide: Live captions, real-time translation, shared screen capture
Vendor guide covers live captions, one-way and two-way translation into 60 languages, and capturing screens shared in browser meetings plus stealth mode.
Guide: In-meeting AI chat, notes, and post-meeting summaries
Vendor guide covers asking chat questions during recording, setting note shape, and regenerating the automatic post-meeting summary.
Guide: Cross-meeting search via chat and saved skills
Vendor guide details sidebar vs meeting detail chat, which meetings get searched, and registering frequent requests as callable skills.
Guide: Using SuperIntern chat across Slack, Notion, Linear, and MCP
Vendor guide explains connecting external apps so chat can post to Slack, create Notion pages and Linear issues, plus MCP access to meeting data from Claude and ChatGPT.
SuperIntern summaries now draw on automatically captured shared screens
Meeting summaries incorporate screens saved by automatic shared-screen capture; arrow keys switch thumbnails, and a settings toggle controls auto-stop on silence.
SuperIntern v0.19.110 adds admin project requirement for Team space sharing
Team and Enterprise admins can require members to pick a project when sharing a meeting to the Team space. Also adds desktop dark mode and automatic shared-screen capture.
Weekly update: Slack, Notion, Linear integrations and automatic screen capture
AI chat now works with Slack, Notion, and Linear via app integrations; screens shared in meetings are saved automatically alongside recordings.
Weekly update: bulk-move Personal Workspace meetings to a team, pick recording devices
Meetings in a Personal Workspace can be moved into a Team Workspace in one action; users can also choose the microphone and system audio devices recorded.
What do users say about Always-on Meeting AI?
How we verified this
Every listed fact about Always-on Meeting AI— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 22 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Always-on Meeting AI 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing page, platforms, limitations
- — changed who should skip it, switching out, limitations, description, switching in, summary, setup time, pricing fit, our verdict, features, use cases, hidden costs, pricing tiers, integrations, who it suits
- — changed pricing tiers, integrations, features, who it suits, our verdict, description, who should skip it, summary
- — changed pricing page, limitations
- — changed who it suits, description, pricing tiers, who should skip it, integrations, our verdict, features
- — changed pricing page
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Always-on Meeting AI cost in 2026?
Always-on Meeting AI: Free to start; paid plans from $20/mo. Pricing last verified 22 Oct 2026.
Plans compared
Every published Always-on Meeting AI tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | A single Mac user evaluating botless capture on one or two recurring meetings before committing.Adds: Starting tier at $0/month: AI Canvas, live transcription, translation, in-meeting and post-meeting chat, and speaker diarization, with limited AI chat usage. |
| Plus | $20/mo | monthly | An individual professional recording roughly an hour or two of calls a day who needs unlimited AI chat and MCP follow-up.Adds: Adds unlimited AI chat usage, the MCP server, and 100 included hours per month with $0.02/min beyond that. |
| Team | $35/person/moVendor: “$35/mo per person” | monthly, per seat | A Mac-based product, engineering or consulting team that wants shared meeting data with per-member controls.Adds: Adds Team Workspace sharing, per-member permission management, workspace-level billing, and included usage of member count × 100 hours with admin-purchased extra hours. |
| Enterprise | Contact | quote | Organisations with security review requirements and a procurement process that needs invoiced billing.Adds: Adds SSO, admin controls for feature restrictions, invoice billing, enterprise-grade security and priority support on top of Team. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Always-on Meeting AI's pricing actually pencils out — and where peers do it cheaper.
Plus at $20/month sits level with typical Otter.ai and Fireflies.ai paid seats, and Team at $35/month per person is in the same band as team plans from those vendors while adding workspace permissions. Enterprise is contact-sales with SSO and admin feature controls. For a solo Mac user, Free costs nothing and Plus at $20/month is the only step up until you need shared meeting data.
Has Always-on Meeting AI's pricing changed?
No plan price for Always-on Meeting AI has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Always-on Meeting AI?
Pick Always-on Meeting AI if you are Mac-based product and engineering teams running recurring structured meetings, Privacy-conscious teams that refuse to let a bot appear in the participant list, Consultants, HR interviewers and account managers who need minutes without visible note-taking, Teams already working in Claude desktop, Cursor or ChatGPT who want MCP-based follow-up.
Look elsewhere if you are Windows-first or mixed-OS organisations, Sales orgs expecting out-of-the-box Salesforce or HubSpot record sync, Teams that need native webinar recording, streaming or event hosting, Anyone who needs built-in sentiment analysis or topic-clustering reports.
Skip it if Skip SuperIntern if your team is Windows-first or if you need automatic Salesforce or HubSpot logging without building an MCP bridge yourself.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Always-on Meeting AI actually fits — and what changes day-one when you adopt it.
You save a Weekly Sync instruction with sections for progress per member, decisions needed, roadmap impact and next actions, join the Zoom call, and SuperIntern detects the calendar event and pops up.
Outcome: The AI Canvas fills in that exact structure while people talk, and clean structured minutes are ready the moment you hit End.
You start a client interview in Google Meet with no bot invited, keep live caption translation on with invisible mode so only you see the translated text, and correct a mislabeled speaker once.
Outcome: The participant list stays clean, the transcript is accurately attributed, and SuperIntern learns that voice for later meetings.
After a customer call you connect the MCP server and the Chatwork MCP server, then ask Claude to read the transcript and draft minutes into Google Docs while posting decisions with owners to Chatwork.
Outcome: Minutes and a decision post exist without a native CRM integration, and chat answers cite the exact meeting behind each statement.
Use cases
- Write structured live notes for a weekly sync or sprint planning using a saved instruction template
- Take botless minutes in client or HR interviews without visibly typing
- Translate a foreign-language meeting on the fly with private subtitles on your screen only
- Turn a recorded call into Google Docs minutes through Claude and the Google Docs connector
- Post meeting decisions with task owners into a Chatwork group via the Chatwork MCP server
- Push commitments from a call into Todoist with due dates
- Update Kintone deal records or log leads from meeting notes
- Search across past and ongoing meetings in AI chat to check a status or organise tasks
Setup time & first value
How long it actually takes to get something useful out of Always-on Meeting AI — broken out by persona, not the marketing-page minute.
A single Mac user gets value in about 10 minutes: download the DMG, connect Google or Outlook calendar, save one instruction for a recurring meeting, and the next detected call pops up on its own. Team Workspace adds perhaps 15–20 minutes for an admin to set permissions and billing. Wiring Slack, Notion or Linear takes a few minutes each; an MCP bridge into Claude or ChatGPT is an afternoon of
Switching to or from Always-on Meeting AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Otter.ai: connect the calendar, save your recurring meeting structures as AI Canvas instructions, and use MCP or the connected apps to replace Otter's CRM-style exports.
- →From Fireflies.ai: re-create your standard note templates as SuperIntern instructions and re-add team members to a Team Workspace with per-member permissions.
- →From manual note-taking: save one role-based instruction and let the AI Canvas fill it during the first call before refining the structure.
- ↗To Otter.ai: export your transcripts first; Otter's bot-join model replaces the botless capture advantage you came for.
- ↗To Fireflies.ai: expect to rebuild templates and integrations, and to reintroduce a bot into the participant list.
- ↗To a CRM-native tool: SuperIntern's transcripts export, but any CRM writeback built through MCP must be re-implemented in the successor.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Always-on Meeting AI”, and we withheld 6: 6 did not mention Always-on Meeting AI. We are showing none, because we could not prove any of them are about Always-on Meeting AI.
Official links
What are the best Always-on Meeting AI alternatives?
The closest alternatives to Always-on Meeting AI we list are Otter.ai, Fireflies.ai and Granola. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Otter.ai | Freemium | Pricing not published | — |
| Fireflies.ai | Freemium | Pricing not published | — |
| Granola | Freemium | Pricing not published | — |
Alternatives to Always-on Meeting AI
View allOtter.ai
Otter.ai is an AI notetaker that joins your meetings, transcribes and summarizes them, then follows up in your CRM.
Fireflies.ai
Fireflies.ai records, transcribes and summarizes your meetings, then lets you search and act on a year of calls.
Tools that pair well with Always-on Meeting AI
Common stack mates teams adopt alongside Always-on Meeting AI, with the specific reason each pairing earns its keep.
Otter.ai
Otter.ai is an AI notetaker that joins your meetings, transcribes and summarizes them, then follows up in your CRM.
Fireflies.ai
Fireflies.ai records, transcribes and summarizes your meetings, then lets you search and act on a year of calls.
Granola
An AI notepad that listens to your computer's audio and turns rough meeting jottings into structured notes — no bot in the call
Always-on Meeting AI vs its closest rival
Always-on Meeting AI's closest head-to-head is with Poke Interaction Co — If you need a botless meeting copilot with live translation and structured notes, **Always-on Meeting AI** is the clear choice—especially with its new Team plan and audio file upload. If you want an AI assistant that manages email, calendar, and health data from your messaging app, **Poke** is unmatched, now verified on Apple Messages. They solve different problems; choose based on whether your pain point is meetings or daily task automation. Verdict generated
Head-to-head comparisons
Always On Meeting Ai vs Poke Interaction Co
If you need a botless meeting copilot with live translation and structured notes, **Always-on Meeting AI** is the clear choice—especially with its new Team plan and audio file upload. If you want an AI assistant that manages email, calendar, and health data from your messaging app, **Poke** is unmatched, now verified on Apple Messages. They solve different problems; choose based on whether your pain point is meetings or daily task automation.
GeneratedAlways On Meeting Ai vs Guesty
If you manage vacation rentals with 4+ listings, Guesty's AI agents and centralized operations justify the cost. For meeting productivity, Always-on Meeting AI offers botless transcription and live translation with strong privacy—choose it if you need structured notes and multilingual support. They solve entirely different problems; pick based on your primary need.
GeneratedAlways On Meeting Ai vs Gem
Choose Gem if you run recruiting and need an all-in-one ATS/CRM with AI agents for sourcing, screening, and fraud detection — it's built for high-volume hiring. Choose Always-on Meeting AI if your core need is capturing meeting notes with live translation and structured minutes, without a bot joining calls. These tools serve completely different workflows; they're not direct competitors.
GeneratedFrequently asked questions
Best-of guides
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