Tasks often begin inside meeting notes, voice recordings, or messages to yourself. AI can surface them, but useful task detection requires more judgment than extracting every sentence with a verb.
Find commitments, not topics
A task has an intended action and an owner, even if the owner is implicitly you. ‘Research pricing before Friday’ is actionable; ‘pricing is complicated’ is not.
Preserve the source
The detected task should link back to the note that created it. This keeps the reason, people, and surrounding decision available when it is time to act.
Treat uncertainty honestly
Questions, hopes, and delegated work can look like tasks. A system should ask for confirmation or show an uncertain state instead of silently filling the list.
- Extract the action.
- Retain due dates only when supported.
- Keep completion synchronized with the source note.
Group by useful context
Projects, people, urgency, and waiting status are often more useful than manually maintained folders. Views can change without moving or duplicating the underlying note.
Automatic task detection should reduce missed commitments, not increase list maintenance. Favor precision, source links, and easy correction.