CHATBOTS

Failed-Deploy Watcher that Proposes a Rollback in Slack

When a Vercel deployment finishes in an ERROR state, the bot posts an incident card in Slack proposing a one-click rollback to the last healthy build.

CategoryChatbots
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel deployment.error webhook firesVercelVercel
  • LogicFilter to production-target failures only
  • ActionFind last READY deployment as rollback candidateVercelVercel
  • ActionPost incident card with Approve/Dismiss to SlackSlack
  • ActionPromote healthy deployment on approvalVercelVercel
  • OutputLog incident to Postgres + update Slack cardPostgreSQLPostgres

What it does

Listens for Vercel deployment-failed events and turns each into an actionable Slack incident. Instead of silently failing, the bot identifies the last READY deployment, posts a card with the failed commit, the error, and a proposed rollback target, and pings the on-call channel. An engineer approves with one click to promote the healthy build; the event and decision are logged to Postgres.

When to use it

Use it to shorten time-to-recovery on broken production deploys. The watcher catches failures the moment Vercel reports them and hands the operator a ready-made, reversible action — no digging through dashboards mid-incident.

How it works

  1. 1Vercel sends a deployment.error webhook (trigger).
  2. 2The bot filters for production-target failures and ignores preview builds.
  3. 3It queries Vercel for the most recent READY deployment as the rollback candidate.
  4. 4It posts an incident card to the on-call Slack channel with Approve / Dismiss buttons.
  5. 5On Approve, it promotes the healthy deployment via Vercel and records the incident in Postgres.
  6. 6It updates the Slack card with the resolution and live URL.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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