Monitor every deploy
A "deploy succeeded" notification isn't the same as a working site. Set up a teammate that checks the real thing after every release, quiet on success, first to shout on failure.
Copy this prompt to start your first task:
What is this workflow?
Monitoring every deploy means hiring a teammate that fetches the real pages and endpoints after each release and confirms the new version is actually live — not just that a "deploy succeeded" notification fired. It stays quiet when things are fine and DMs you the moment something's actually wrong, naming the specific page or endpoint, not a vague "something might be off."
This teammate reads and reports, it doesn't act. It never rolls back a deploy, never edits infrastructure or config, and never restarts a service on its own, even when it's confident about the fix. Catching a break fast is the job; deciding what to do about it stays with a person who can see the wider context.
How to use this workflow
Hire a builder teammate
Open AI Teammates in the sidebar, click Hire AI Teammate, and pick the Software Engineer template, or add this as a second responsibility for your existing one. The default bio is generic implementation work. Replace it on the Profile step so it knows this job is verification, not just watching a log:
Connect GitHub
The teammate needs to see deploy events to know when a post-deploy check is due. A workspace admin installs the GitHub App once (Settings → Integrations), then grants this teammate the repo. Connect GitHub →
Choose event-driven or polling
Before setting up the check, decide how it senses a deploy:
- Event-driven (recommended): creating a webhook trigger gives you a URL to point your deploy platform at. Real-time and most accurate, but setup for a webhook trigger runs through the
helioxCLI or the automation-creator skill, not a field in the automation UI. See Triggers and schedules for how it works. - Polling: the teammate checks deploy or health status on a fixed interval instead. No change needed on your deploy platform, at the cost of the interval's delay.
Either way, describe the check itself:
Catch it when something breaks, and name the specific thing
A generic "something might be wrong" alert wastes the time it took to notice the problem. The teammate names exactly what it checked and what it found:
Add the daily patrol as a second automation
Open Automations in the sidebar and click Create via Chat. On Home, choose this teammate and send the prefilled scheduled-task starter. When the interview asks what to schedule, answer with the recurring job below:
Nothing here needs your approval: this teammate only reads status and posts to a channel — it never touches infrastructure, so nothing it does is irreversible. See Control for what does pause for sign-off.
Tips for Better Results
| Tip | Description |
|---|---|
| Name the exact page or endpoint on failure | A vague "something might be off" wastes the time it took to notice. Make the bio require specifics. |
| Prefer event-driven over polling when you can | Real-time and more accurate; polling only if a webhook trigger isn't set up yet. |
| Keep the daily patrol separate from the deploy check | One reacts to releases, the other catches slow drift (certs, baseline error rate) between them. |
| Let it stay quiet on success | A watchdog that pings you constantly gets ignored. Reserve the DM for when something's actually wrong. |
Common Questions
Launch a landing page
Have an AI teammate build a landing page and publish it as an Artifact, a stable, org-shareable link you can keep iterating on.
Write a PRD
Give it the problem and the goal. It asks the clarifying questions a PRD needs, then produces a document your team can review and edit together in real time.