AI & RAG

Ask-the-Runbook Slack Assistant

Lets engineers ask plain-English operational questions in Slack and answers with step-by-step runbook guidance pulled and cited from your postmortem and runbook corpus.

CategoryAI & RAG
Enginesim
Difficultybeginner
Triggerchat
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEngineer asks bot a question in SlackSlack
  • ActionRetrieve relevant runbook and postmortem passagesConfluenceConfluence
  • LogicCheck relevance before answering
  • ActionCompose grounded step-by-step answerOpenAI
  • OutputReply in Slack thread with citationsSlack

What it does

Engineers mention the bot in Slack with a question like 'how do we drain a stuck Kafka consumer group?' and get back a grounded, step-by-step answer assembled from your actual runbooks and postmortems, with source links so they can verify before acting.

When to use it

Use it as a 24/7 first responder for operational questions that currently get answered by whoever happens to be online. Best when your runbook knowledge is real but scattered across many Confluence pages.

How it works

  1. 1A Slack mention or slash command triggers the workflow with the engineer's question.
  2. 2The question is embedded and used to retrieve the top runbook and postmortem passages from Confluence.
  3. 3A logic step checks whether any passage is relevant enough to answer from.
  4. 4OpenAI composes a numbered, runbook-style answer strictly from retrieved context, refusing to guess when context is thin.
  5. 5The answer is posted back in-thread with cited source links and a 'was this helpful' prompt.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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