AI & RAG
Auto-draft a Confluence runbook page from clustered postmortems
When an engineer requests a runbook for a service, retrieves all related postmortems, synthesizes a structured runbook.
How it runs
The automated pipeline, trigger to output.
- TriggerEngineer requests a runbook for a service via webhookHTTP webhook
- ActionRetrieve all postmortems for that service from PostgresPostgres
- ActionSynthesize a structured runbook with cited incidentsOpenAI
- ActionCreate a draft runbook page in ConfluenceConfluence
- OutputOpen a Linear ticket linking the draft for reviewLinear
What it does
Generates a first-draft runbook for any service straight from its incident history. An engineer kicks it off with a service name; the flow gathers every related postmortem, distills the common failure modes and proven fixes into a structured runbook, publishes it as a draft Confluence page, and opens a Linear ticket so a human reviews before it goes live.
When to use it
Use it when onboarding a new service to oncall, or when a service has accumulated enough incidents that a written runbook is overdue. It compresses days of doc-writing into a reviewable draft grounded entirely in what actually happened.
How it works
- 1A webhook (or internal form) triggers the flow with a target service name.
- 2All postmortems tagged to that service are retrieved from the Postgres vector store.
- 3The model synthesizes a structured runbook: symptoms, diagnostics, mitigation steps, and escalation, citing source incidents.
- 4A draft page is created in the team's Confluence space.
- 5A Linear ticket is opened linking the draft and assigned for review and publishing.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Connect HTTP webhookTrigger any URL on agent actions.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, 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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