PERSONAL PRODUCTIVITY

Auto-Close Commitment Cards on Reply Detection

Watches incoming replies to threads where you made a promise, uses AI to decide whether the commitment was fulfilled.

CategoryPersonal Productivity
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew inbound reply in GmailGmailGmail
  • ActionFind matching open commitment card in Trello by threadTrelloTrello
  • LogicStop if no open card matches the thread
  • ActionJudge fulfillment with OpenAI (fulfilled / pending / unclear)OpenAI
  • OutputMove card to Done or post review note to SlackSlack

What it does

When a reply lands in your inbox, this workflow matches it to an open commitment card by thread and asks an AI model whether the reply implies the promise was kept (the deliverable was sent, the question answered). If so, it moves the Trello card from "Promised" to "Done" and posts a one-line confirmation to Slack.

When to use it

Use it to keep a commitment board from rotting. Without auto-closing, cards pile up even after you deliver, and the board loses trust. This closes the loop automatically and only flags genuine ambiguity for you.

How it works

  1. 1A new inbound Gmail message triggers the run.
  2. 2A Trello step looks up open commitment cards matching the email thread reference.
  3. 3A logic gate ends the run if no open card matches the thread.
  4. 4An OpenAI step judges whether the reply indicates the commitment was fulfilled, returning fulfilled, pending, or unclear.
  5. 5On fulfilled, the Trello card is moved to the Done list; on unclear, it stays put and a Slack note asks you to review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect TrelloKanban boards for everything.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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