Production Incident Controller
Monitoring alerts are turned into a first response by TypeSafe AI's Jev model: it reads the alert, the recent deploy, affected customers, and service health, then picks one of five actions with a probability for each and a confidence score. High-confidence rollbacks and restarts call your deploy tooling; pages go to the incidents channel; anything uncertain or marked “investigate” waits for a human in the Approvals queue with the full picture attached.
Templates never consume AI Builder credits. Customize every node visually after import.
How it works
Ingest
A webhook trigger takes the alert from your monitoring tool along with the last deploy and service health fields.
Decide
One AI Decision call chooses ignore / rollback / restart / page / investigate against your runbook rules and scores the customer impact.
Respond
Rollback and restart call your deploy API over HTTP; page posts to Slack; investigate and uncertain go to Human Approval, and an approved investigation pages the channel with the reviewer's note.
Integrations in this template
Every node is swappable — replace any integration with another without rebuilding the flow.
Webhook Trigger
View integration docs →AI Decision
View integration docs →HTTP Request
View integration docs →Built for
- Auto-rollback of a bad deploy on error-rate alerts
- Restarting a wedged worker on queue-depth alerts
- Filtering noisy alerts before they page anyone
Frequently asked questions
Is it safe to let it roll back automatically?
The template requires 75% confidence before taking any branch, and your runbook rules go straight into the decision. Start with page-only by pointing the rollback and restart branches at Slack, then enable the HTTP calls once you trust the decisions.
What does the model actually see?
Only what you put in the state: alert name, error message, last deploy, affected customers, service health. Keep it to the fields the decision needs — extra context lowers accuracy.
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