AI AGENTS
Deploy Noise-Budget Gate
Right after a Vercel deploy, an agent compares the new log-pattern noise against a budget and, if the deploy introduced too many new noisy patterns, posts a blocking Slack…
How it runs
The automated pipeline, trigger to output.
- TriggerVercel deploy succeeded webhookVercel
- ActionDiff new vs baseline log patterns in AxiomAxiom
- LogicCount net-new noisy clusters vs budget
- OutputPost Slack approve/hold card if over budgetSlack
What it does
This agent treats log noise as a budget a deploy can blow. After a deploy it clusters the freshly introduced log patterns in Axiom, counts how many are net-new and noisy, and compares that against a configured threshold. If the deploy stays under budget it stays silent; if it exceeds it, the agent raises a Slack approval card asking whether to proceed or hold.
When to use it
Use it as a lightweight quality gate on services where a careless deploy can multiply log volume overnight. It surfaces noise regressions while they are still cheap to revert.
How it works
- 1A Vercel deploy-succeeded webhook fires.
- 2The agent queries Axiom for the new deploy's log patterns versus the prior release baseline.
- 3A logic step counts net-new noisy clusters and compares to the noise budget.
- 4If under budget, the run ends quietly; if over, it summarizes the offending patterns and their volume delta.
- 5It posts a Slack card with approve/hold actions and the deploy link for the release owner.
Set it up
What you configure once, before turning it on.
- 1Connect VercelDeploys, runtime logs, analytics.
- 2Connect AxiomLog streams, queries, dashboards.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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.
More AI Agents workflows
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.