PERSONAL PRODUCTIVITY

Log promises you make in email as Linear tasks

Watches only the email you send, detects commitments where you are the one on the hook, and creates a Linear issue with a due date so your own promises become assigned.

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEmail you send from GmailGmailGmail
  • ActionDetect self-commitment and extract task + due date with OpenAIOpenAI
  • LogicFilter: keep only promises you personally made
  • ActionCreate Linear issue with due dateLinearLinear
  • OutputOwned, dated task in your Linear backlogLinearLinear

What it does

This workflow watches your outbound mail specifically — the messages where you are the person making the promise. When you write "I'll get you the contract tomorrow" or "sending revised numbers by EOD Thursday," it creates a Linear issue assigned to you, with the deadline set and the customer or thread referenced.

When to use it

Use it when your follow-through problem is on your side of the table. Sales reps, founders, and consultants who over-promise in email and need each promise to become a real ticket in their work tracker, not just a calendar nudge. Linear gives you status, assignment, and a backlog view of everything you owe.

How it works

  1. 1The flow triggers only on messages you send from Gmail.
  2. 2OpenAI checks whether you committed to a deliverable and extracts the task, the recipient, and the due date from natural phrasing.
  3. 3A filter discards FYIs, acknowledgements, and anything without a concrete promise.
  4. 4A Linear issue is created with a clear title, the resolved due date, and the email thread link in the description.
  5. 5The issue lands in your Linear backlog as owned, dated work.

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 LinearIssues, projects, cycles, triage.
  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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