AI termBrowse the neighboring terms

Second Brain / Industry term

Meeting capture

The workflow that turns a conversation into structured records, pulling out attendees, decisions, commitments, open questions, and follow-ups so one meeting feeds your tasks, contacts, and decision log at once.

Meeting capture is the workflow that turns a conversation into structured records, pulling out attendees, decisions, commitments, open questions, and follow-ups so one meeting feeds your tasks, contacts, and decision log at once. Instead of reading a flat transcript later, you ask the assistant to sort the recording into named fields. A planning call about a to-do app might yield three decisions, two action items with owners, one unresolved question about the password reset flow, and an updated note on each attendee. Each field then lands where it belongs, so the same hour of talking populates several records rather than sitting in one long block of text.

Builder example

Structured extraction can make decisions and commitments searchable, but speaker attribution, names, numbers, implied owners, and due dates are common failure points. Preserve source timestamps, distinguish explicit statements from inference, and avoid writing an inferred commitment directly into an authoritative task system without the required evidence.

Common confusion: Meeting capture is broader than transcription. Transcription produces the verbatim text; capture reads that text and routes its parts into decisions, tasks, contacts, and open questions you can act on later.