PERSONAL PRODUCTIVITY
Daily sweep: remind me of promised follow-ups coming due
Runs each morning, scans the past day of sent mail for commitments with deadlines, and posts a single Slack digest of what you promised and when it's due.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekday morning schedule
- ActionSearch Gmail for mail sent in last 24hGmail
- ActionExtract dated commitments from each messageOpenAI
- LogicSort promises by soonest due date
- OutputPost accountability digest to SlackSlack
What it does
On a daily schedule, this workflow looks back over the last 24 hours of sent email, pulls out every promise that carries a deadline, and compiles them into one ranked Slack message: what you said you'd do, to whom, and the date it's owed. It is a recurring sweep rather than a per-email trigger, so it catches commitments in bulk.
When to use it
Use it when you'd rather review your obligations once a morning than get pinged on every send. Ideal for operators who want a tidy start-of-day list of what they owe people without opening a task manager.
How it works
- 1A schedule trigger fires every weekday morning.
- 2A Gmail search pulls messages you sent in the last day.
- 3An OpenAI step extracts dated commitments from each message and discards threads with none.
- 4A logic step sorts surviving promises by due date, soonest first.
- 5A formatted digest is posted to your Slack DM or a private channel with thread links.
Set it up
What you configure once, before turning it on.
- 1Connect GmailRead, draft, send, label.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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