PERSONAL PRODUCTIVITY
Turn Slack Starred Messages Into a Notion Task List
Sweeps your Slack saved/starred messages, uses AI to extract a clean action item from each, and files them as tasks in a Notion database.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule kicks off the run
- ActionFetch saved/starred messages from SlackSlack
- ActionExtract task title, priority, and due-date hint with AIOpenAI
- LogicFilter out messages already imported
- OutputCreate a task row in the Notion databaseNotion
What it does
This workflow turns the messages you star (save) in Slack into a structured personal to-do list in Notion. On a schedule, it pulls every saved item from your Slack account, sends each one to an OpenAI model that rewrites the raw message into a crisp action item with a suggested priority and due-date hint, then creates a corresponding row in your Notion tasks database. Messages you have already processed are skipped, so re-runs never create duplicates.
When to use it
Use it when Slack is where work lands on you but Notion is where you actually plan your day. If you reflexively star messages like "can you review the deck before Thursday?" or "ping me when the contract is signed" and then lose them in the saved-items list, this closes the loop automatically. Ideal for individual contributors, managers triaging requests across channels, and anyone running a personal GTD-style system who wants Slack noise distilled into a single, prioritized task queue without manual copy-paste.
How it works
- 1A daily schedule trigger kicks off the run (you can change the cadence to hourly or weekday-mornings).
- 2The Slack step fetches your current saved/starred messages along with their channel, author, permalink, and timestamp.
- 3Each message is sent to OpenAI, which returns a short imperative task title, an inferred priority (High/Medium/Low), and any date mentioned in the text.
- 4For every new item, a Notion page is created in your Tasks database with the task title, priority, source channel, original snippet, and a back-link to the Slack permalink. Already-imported messages (matched by Slack message timestamp) are filtered out before creation.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 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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