commitment-extractor

To extract action items from meeting notes, heuristic-based natural language processing automatically identifies promises and follow-ups, structuring them by owner, recipient, and deadline. This automates accountability tracking for project management.

Yes, you can track follow-up status to identify overdue action items. The system assigns statuses like 'new', 'aging', 'overdue', and 'completed', cross-referencing completion to support accountability workflows.

The best way to structure task tracking from markdown files is to parse the documents and apply natural language processing to organize commitments by owner, recipient, deadline, and source meeting, ensuring clear accountability.

Yes, commitment extraction works with plain markdown meeting notes. The process requires parsing markdown files and applying heuristic-based natural language processing to detect and structure action items.

To identify who committed to what and by when, run the commitment extraction process across your meeting notes. It automatically structures data by owner, recipient, deadline, and source meeting, giving you a clear list of all action items.