PERSONAL PRODUCTIVITY

Turn promises in your sent email into dated ClickUp tasks

Scans newly sent Gmail messages for commitments you made ('I'll send the deck by Friday'), extracts the deliverable and due date.

CategoryPersonal Productivity
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew message in Gmail Sent folderGmailGmail
  • ActionDetect whether you made a commitmentOpenAI
  • LogicSkip if no promise found
  • ActionExtract deliverable, recipient, and due dateOpenAI
  • OutputCreate dated follow-up task in ClickUpClickUpClickUp

What it does

Every time you send an email, this workflow reads the message you just sent and looks for promises you made to the recipient. When it finds one, it pulls out the concrete deliverable, who it's owed to, and the implied due date, then files a dated task in ClickUp assigned to you.

When to use it

Run this if your sent folder is where commitments go to die. It's built for account managers, founders, and consultants who fire off 'I'll get that to you by end of week' a dozen times a day and need those promises tracked without manual entry.

How it works

  1. 1A Gmail trigger fires whenever a message lands in your Sent folder.
  2. 2An OpenAI step reads the body and decides whether you actually committed to a deliverable (versus small talk or a question).
  3. 3A logic gate drops the message if no promise was detected.
  4. 4When a promise exists, OpenAI extracts the deliverable text, the recipient, and a resolved due date (turning 'by Friday' into a real date).
  5. 5A ClickUp action creates a task in your follow-ups list with the due date and the original email linked in the description.

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 ClickUpDocs + tasks + chats in one workspace.
  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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