PERSONAL PRODUCTIVITY

Log client-facing promises into a Notion commitment tracker

Extracts commitments from sent email but only for messages to external client domains, then logs each one as a row in a Notion database with deliverable, client, due date…

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew sent message in GmailGmailGmail
  • LogicKeep only external client domains
  • ActionExtract deliverable, client, and due dateOpenAI
  • LogicSkip if no commitment detected
  • OutputAppend row to Notion commitment trackerNotionNotion

What it does

This workflow builds a living record of what you've promised clients. It reads your sent mail, keeps only messages addressed to external client domains, extracts each commitment, and appends a structured row to a Notion database you can filter and report on.

When to use it

Use this when client trust hinges on follow-through and you need an auditable log of every external promise. It fits agencies and customer teams that want one source of truth for outstanding client deliverables, separate from internal noise.

How it works

  1. 1A Gmail trigger fires on each newly sent message.
  2. 2A logic gate checks the recipient domain and drops anything internal or personal.
  3. 3OpenAI confirms a real commitment was made and extracts the deliverable, client name, and due date.
  4. 4A second logic gate skips messages where no promise was found.
  5. 5A Notion action inserts a new row into the commitment tracker with status set to Open and the source email linked.

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 NotionPages, databases, comments.
  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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