AISOFT LLC Agentic Engineering

Playbook: Deploy Verification

Example playbook. The shape — trigger, steps, definition of done — is what to copy. The specifics are illustrative; replace with yours.

Trigger

Any time work is about to be reported as “deployed”, “shipped”, “live”, or “done” after a publish command (rsync, scp, vercel deploy, gcloud run deploy, a CI deploy, any upload).

Why this playbook exists

The single failure mode it prevents: declaring victory on a deploy that never actually landed. A deploy command returning cleanly is not proof. An ambiguous tool result is not proof. “It probably worked” is how broken things get called done.

Steps

  1. Run the deploy. Note exactly what command, what target.
  2. Verify in the same turn — pick at least one, do not skip:
    • curl -sI the live URL → fresh last-modified or the new content present
    • ssh host ls -l /path → new file, fresh mtime
    • A screenshot of the live URL showing the change
    • The CI run’s own smoke-test step passing
  3. If the deploy tool errored, returned ambiguous output, or returned nothing — re-run or verify directly. Never assume success.
  4. Only now report the outcome — and report it with the proof, not as a bare claim.

Definition of done

The word “deployed” has not been earned until a verification from step 2 has been run and its result is in hand. Done = change confirmed live, with evidence, this turn.

Anti-patterns

  • Saying “deployed” because the command exited 0
  • Polling a remote job repeatedly instead of one check + one report
  • Re-running the deploy as a “retry” without first checking the previous one didn’t already land