11·AI Agent · Operations·2026
Live · try it belowAction Items Agent
Paste a meeting transcript, it pulls out every action item with an owner, due date and priority, plus a two-line summary.
01 · The opportunity
What it set out to solve
The decisions in a meeting are worthless if the follow-ups get lost. Someone has to listen back, work out who committed to what and by when, and turn it into a task list, and usually nobody does, so things slip.
02 · The approach
How we thought about it
We built it as an agent that reads a transcript the way a good chief-of-staff would: find the commitments, attribute each to an owner, pull out the due date, and rank by urgency. The demo uses verb/name/date heuristics; production runs the same shape on your real call transcripts with an LLM.
03 · What we built
- 01Paste-in transcript with a realistic prefilled sample
- 02A visible extraction loop: read → spot commitments → assign → prioritise
- 03Action items with task, owner, due date and P1-P3 priority
- 04A two-line summary of who owns what and what's urgent
- 05One-click copy of the whole list
04 · The result
What changed
A working agent that turns a wall of transcript into an owned, prioritised task list in seconds, the kind of ops automation we wire into a client's meeting and tracker stack.
Live · interactive
Pull the action items.
Paste a meeting transcript (or use the sample) and watch it pull out every action item with an owner, due date and priority, plus a two-line summary. All in your browser.
Meeting transcript
Paste a transcript in Name: … form, or use the sample.
Every commitment, task, owner, due date and priority, plus a two-line summary will appear here.
05 · Decisions
The questions we get asked, and our answers
How does it decide the owner and priority?
Owner comes from who was addressed ("Raj, can you…") or who committed ("I'll…"); priority comes from signal words (urgent, blocker, EOD → P1; 'can wait', 'after launch' → P3). In production the same rules back an LLM so it also catches what the keywords miss.
How would this run for real?
Connected to your meeting tool (Fireflies, Otter, Meet, Zoom): every call is transcribed, the agent extracts the action items, and pushes them straight into your tracker, assigned, dated and prioritised, before anyone's left the room.