SUMMARIZATION

CEO-Driven Release-Health Narrative with Adaptive Routing

On a Vercel deploy, an agent investigates crash-free trends across the last three Sentry releases, writes a regression narrative, files it as a GitHub release-notes appendix.

CategorySummarization
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel deployment succeeded webhookVercelVercel
  • ActionAgent fetches crash-free rates for three latest releasesSentrySentry
  • ActionAppend regression narrative to GitHub release notesGitHubGitHub
  • LogicAgent grades severity and chooses escalation path
  • OutputRoute summary to Slack, or page PagerDuty if severePagerDutyPagerDuty

What it does

When a new build deploys, the CEO agent investigates release health rather than running a fixed pipeline. It pulls crash-free rates for the last three Sentry releases, reasons about whether the latest deploy regressed, drafts a narrative appendix, and decides where the message belongs — a routine note to Slack or an urgent page to PagerDuty.

When to use it

Use it when a rigid threshold is not enough and you want judgment about context: a small dip during a known migration may be fine, while the same dip on a normal release is not. Best for teams comfortable letting an agent grade severity and choose the escalation path.

How it works

  1. 1A Vercel deployment-succeeded webhook triggers the agent with the release version.
  2. 2The agent fetches crash-free metrics for the three latest Sentry releases.
  3. 3It writes a regression narrative and appends it to the GitHub release notes for that tag.
  4. 4It grades severity from the trend and surrounding context.
  5. 5It routes the summary to Slack for normal releases or to PagerDuty for severe regressions.

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 GitHubRepos, issues, pull requests, actions.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect PagerDutyIncidents, on-call, escalations.
  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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