SUMMARIZATION

Critical post-deploy regression auto-escalation

On a deploy, checks Sentry for newly introduced high-impact error groups, and if a release crashed real users it clusters the cause, pages on-call via PagerDuty.

CategorySummarization
Enginesim
Difficultyadvanced
Triggerwebhook
Steps7
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel deployment succeeded webhookVercelVercel
  • ActionFetch release-introduced error groups with impactSentrySentry
  • LogicCluster by root cause and score impact
  • LogicBranch: exit unless a cluster is critical
  • ActionWrite incident briefOpenAI
  • ActionTrigger PagerDuty incidentPagerDutyPagerDuty
  • OutputPost brief to incident Slack channelSlack

What it does

Acts as an automatic release gate that only speaks up when a deploy actually breaks things for users. It scans Sentry for error groups introduced by the new release, scores user impact, and escalates only when a cluster crosses the critical line, so on-call is paged for genuine regressions rather than background noise.

When to use it

When you want hands-off escalation for bad deploys without subscribing on-call to every minor Sentry blip. Use it as a safety net on high-traffic production services.

How it works

  1. 1A Vercel deployment-succeeded webhook fires with the release version.
  2. 2Fetch error groups first seen in that release from Sentry, with user counts.
  3. 3Cluster them by root-cause signature and compute impact per cluster.
  4. 4Branch: if no cluster is critical, exit quietly; otherwise continue.
  5. 5An LLM writes a tight incident brief naming the cause and blast radius.
  6. 6Trigger a PagerDuty incident for the on-call rotation.
  7. 7Post the same brief to the incident Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect SentryErrors, performance, releases.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect PagerDutyIncidents, on-call, escalations.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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