Turn LLM notes into a clean action list
LLMs are great at summarising a meeting or drafting a report — but the next steps end up buried in prose. This tool reads that prose and pulls out the action items, separating the task, the owner, and the deadline into a tidy checklist you can paste straight into a tracker. It runs entirely in your browser.
How it works
Each sentence is scored for “action-ness”:
- Modal / intent verbs — will, must, should, need to, plan to, going to.
- Assignment language — assign, owner, responsible, action:, todo, follow up.
- Imperative openings — a sentence that starts with a bare verb (Send …, Review …, Schedule …).
- Date signals — by Friday, due 12 March, before EOD — these boost the score because a dated sentence is almost always a commitment.
Sentences above the sensitivity threshold become tasks. The extractor then runs
a second pass to lift out a likely owner (@name, assigned to X, a leading
proper noun) and a deadline (relative or absolute date phrases), shown only
when confidently found.
Tips and notes
- Set the model up for success: prompts like “List next steps as ‘Owner — task — due date’” make extraction near-perfect.
- If you get false positives, raise the sensitivity; if real tasks are missed, lower it.
- The Markdown output uses
- [ ]checkboxes, so it renders as an interactive task list in GitHub, Notion, Obsidian and most trackers.