SUMMARIZATION

Axiom Reliability Note That Files Its Own Follow-Ups

Summarizes the week's Axiom log patterns into a plain-English reliability note, then has an agent open prioritized GitHub issues for the patterns worth fixing and posts…

CategorySummarization
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionFetch ranked recurring patternsAxiom
  • ActionDraft note and pick fix-worthy patternsOpenAI
  • ActionOpen or de-dupe GitHub issuesGitHubGitHub
  • OutputPost note with issue links to DiscordDiscordDiscord

What it does

Goes one step past summarizing: it not only writes the weekly plain-English reliability note from Axiom logs, but also decides which recurring patterns deserve engineering work and files tracked follow-up issues for them. The Discord digest then links straight to the issues it created, closing the loop between observation and action.

When to use it

Use it when reliability reviews keep surfacing the same unactioned errors. The agent turns the recurring offenders into real tickets so they stop reappearing in next week's note.

How it works

  1. 1A weekly schedule trigger starts the run.
  2. 2An Axiom action returns ranked recurring error patterns with counts and trends.
  3. 3An agent step reasons over the patterns, drafts the plain-English note, and chooses which ones are fix-worthy versus expected noise.
  4. 4For each fix-worthy pattern, a GitHub action opens (or de-dupes against) a prioritized issue with sample lines and context.
  5. 5A Discord output posts the reliability note with links to every issue filed.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AxiomLog streams, queries, dashboards.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect GitHubRepos, issues, pull requests, actions.
  4. 4
    Connect DiscordCommunity channels + voice + bots.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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