AI AGENTS
Axiom Noise Digest with Slack Approval Gate
An agent clusters Axiom log noise weekly and posts a ranked digest with proposed drop rules to Slack; only the rules an operator approves are then committed as a GitHub PR.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule kicks off analysis
- ActionCluster trailing-week Axiom events into ranked templatesAxiom
- OutputPost interactive digest with approve controls to SlackSlack
- LogicCollect approvals, discard skipped candidates
- ActionOpen GitHub PR with only approved rulesGitHub
What it does
This agent puts a human in the loop before any logging config changes. It clusters Axiom log patterns, builds a ranked digest of the noisiest low-value candidates with proposed sampling or drop rules and per-rule savings, and posts it to Slack with approve buttons. Only the rules an operator approves are bundled into a GitHub PR.
When to use it
Use it when you want automated analysis but require explicit sign-off before touching logging config, common in regulated environments or where logs feed compliance audits and an accidental drop is costly.
How it works
- 1A weekly schedule kicks off the analysis.
- 2The agent queries Axiom for the trailing week and clusters events into message templates ranked by volume and cost.
- 3It drafts a candidate rule and savings estimate for each top cluster.
- 4It posts an interactive digest to Slack listing every candidate with approve and skip controls.
- 5A logic gate collects approvals and discards skipped candidates.
- 6It opens a GitHub PR containing only the approved rules, linking back to the Slack thread for the audit trail.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect GitHubRepos, issues, pull requests, actions.
- 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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