AI & RAG
Runbook Coverage Gap Detector from Unanswered Questions
Aggregates questions the answer bot couldn't ground, clusters them by topic, and files a Linear issue per gap proposing which runbook section is missing or thin.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule triggers gap analysis
- ActionRead logged unanswered and low-confidence questions from PostgresPostgres
- ActionCluster questions into missing-topic themes with OpenAIOpenAI
- LogicFilter out clusters below the frequency threshold
- OutputCreate a Linear issue per gap with sample questions and a suggested sectionLinear
What it does
Closes the loop on what your runbooks don't cover. It collects every question the grounded bot answered with low confidence or 'no relevant source,' clusters the recurring themes, and turns each cluster into an actionable documentation task so the wiki improves where engineers actually struggle.
When to use it
Use it when you want your runbook backlog driven by real demand signals instead of guesswork, and to prove the value of new docs by showing how many real questions a gap caused.
How it works
- 1A daily schedule triggers the analysis.
- 2The flow reads logged unanswered or low-confidence questions from Postgres.
- 3OpenAI clusters them into topics and summarizes the apparent missing-knowledge theme for each cluster.
- 4A branch drops clusters below a frequency threshold to avoid noise.
- 5For each remaining cluster, a Linear issue is created describing the gap, sample questions, and a suggested runbook section to author.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 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
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Run this workflow in your colony.
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