AI AGENTS
Decompose a finalized Notion PRD into estimated Linear stories
When a PRD page in Notion is marked Ready, an agent extracts its requirements, generates a set of right-sized Linear stories with acceptance criteria and point estimates.
How it runs
The automated pipeline, trigger to output.
- TriggerNotion PRD status set to ReadyNotion
- ActionRead full PRD page contentNotion
- ActionDecompose into sized stories with criteriaOpenAI
- LogicRe-split any story over the size ceiling
- ActionCreate linked stories in LinearLinear
- OutputWrite back-link table into the PRD pageNotion
What it does
This agent turns an approved product requirements doc into a clean, pre-groomed backlog. When a Notion PRD moves to a Ready status, it parses the requirements, breaks them into vertically sliced stories sized to fit a single sprint, drafts testable acceptance criteria for each, and assigns a point estimate. Every created story links back to the PRD section it came from.
When to use it
Use it when PMs write specs in Notion and engineers complain that backlog stories arrive too big or under-specified. It eliminates the manual translation step and lands stories that are already the right size.
How it works
- 1A Notion webhook fires when a PRD page's status becomes Ready.
- 2The agent reads the full page content from Notion.
- 3An LLM decomposes requirements into vertically sliced stories, each with acceptance criteria and a point estimate, splitting anything that would exceed a sprint.
- 4A logic step validates that no story exceeds the size ceiling, re-splitting any that do.
- 5The agent creates the stories in Linear, tagging each with the PRD link.
- 6It writes a back-link table into the Notion page so the PRD shows its generated stories.
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 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.
Run this workflow in your colony.
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