PERSONAL PRODUCTIVITY
Notion Meeting Notes to Triaged Linear Issues
Watches a Notion meeting-notes database, reads each new doc, extracts engineering follow-ups, and opens Linear issues routed to the right team and priority.
How it runs
The automated pipeline, trigger to output.
- TriggerNew page in Notion notes DBNotion
- ActionRead meeting notes contentNotion
- ActionExtract engineering follow-upsOpenAI
- LogicBranch bugs vs feature work
- ActionCreate triaged Linear issuesLinear
- OutputWrite issue links back to NotionNotion
What it does
Converts free-form meeting notes in Notion into properly triaged Linear issues. It reads a newly added notes page, pulls out anything that's an engineering task or bug, infers the team and priority from context, and creates a Linear issue for each one with a link back to the source notes.
When to use it
When product, design, and engineering hash things out in meetings and the decisions land in a Notion doc that nobody converts into tracked work. Best for teams that already run their delivery in Linear and take notes in Notion.
How it works
- 1A new page is created in the Notion meeting-notes database.
- 2The flow reads the page content via the Notion API.
- 3OpenAI extracts engineering follow-ups, each tagged with a suggested team, priority, and one-line description.
- 4A branch separates bugs from feature work so they can be labeled differently.
- 5For each item the flow opens a Linear issue with the inferred team, priority, label, and a backlink to the Notion page.
- 6It writes the list of created issue URLs back into the Notion page so the notes stay the source of truth.
Set it up
What you configure once, before turning it on.
- 1Connect NotionPages, databases, comments.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 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 this workflow in your colony.
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