Fellow is a meeting management app combining AI meeting notes, collaborative agendas and action item tracking for teams.
Fellow treats meetings as managed workflows: shared agendas are built collaboratively before the call, its AI joins to record and transcribe, and the meeting produces structured notes with decisions and action items automatically extracted. Action items sync to project tools like Asana and Jira, creating accountability after the meeting. Analytics track meeting load and effectiveness, and the tool integrates with Google, Microsoft and Zoom calendars. It is designed for managers who want meetings to produce outcomes, not just recordings.
Create a shared meeting agenda before the call and let Fellow’s AI join to record and transcribe. After the meeting, review the extracted notes and action items, sync tasks to your project tools and track follow-through in the action item list.
Fellow is freemium: a free plan covers basic meeting notes; paid plans unlock unlimited AI summaries, advanced integrations and admin features.
Team leads, managers and operations teams that run recurring meetings and need structured follow-through, not just transcripts.
Yes. Fellow’s free plan includes core meeting notes and agendas; unlimited AI recording and advanced features require a paid plan.
Fellow offers integrations with productivity and project management platforms; access to its data is through those integrations rather than a public API.
Compared with pure transcription tools, Fellow adds agenda discipline and action-item accountability around the meeting lifecycle.
Fellow adds value when meetings are frequent and outcomes matter; casual users may find lighter note takers enough. Its real differentiator is the discipline it adds around agendas and accountability.
Fellow integrates with Google Calendar, Microsoft/Outlook calendars and Zoom, detecting your meetings automatically and attaching agendas and notes to each event.
You control recording per meeting; Fellow’s AI can auto-join based on your settings, but recording behavior is configurable and transparent to participants.
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