PERSONAL PRODUCTIVITY

Sent-Mail Commitment Extractor to Trello Board

Scans every email you send, uses AI to pull out promises you made (deliverables, deadlines, follow-ups), and files each one as a card on a Trello follow-up board so nothing you…

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerevent
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew email in Gmail Sent mailboxGmailGmail
  • ActionExtract commitments with OpenAI (deliverable, recipient, due date)OpenAI
  • LogicSkip run if no commitment detected
  • OutputCreate a card per commitment on the Trello Promised listTrelloTrello

What it does

Every time you send an email, this workflow reads the message and asks an AI model to find any explicit commitments you made — things like "I'll send the deck by Friday," "I'll loop in legal," or "expect numbers next week." Each promise becomes a Trello card with the recipient, the deliverable, and the due date the AI inferred, dropped onto a "Promised" list.

When to use it

Use it if you make a lot of verbal-style commitments over email and routinely forget the small ones. It turns your sent folder into an accountability ledger without you copying anything by hand.

How it works

  1. 1A new message in your Gmail Sent mailbox triggers the run.
  2. 2An OpenAI step extracts a structured list of commitments (deliverable, recipient, due date) from the body, returning empty if there are none.
  3. 3A logic gate drops the run when no commitment is found, so noise emails never reach the board.
  4. 4For each commitment, a Trello card is created on the "Promised" list with a due date and the original email quoted in the description.
  5. 5The board becomes your single view of everything you owe people.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect TrelloKanban boards for everything.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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