deploy-checklist

To verify deployment readiness for AI automation, you need a pre-deployment checklist that validates eval results, baselines, guardrails, costs, monitoring, and rollback plans. This ensures all dimensions pass before generating a final GO/NO-GO summary.

A pre-deployment evaluation checklist for AI systems includes structured pass/fail verification across evals, baselines, guardrails, costs, monitoring, and rollback. It validates each dimension against plans and produces a formal deployment readiness report.

Yes, a deployment readiness checklist supports integration with CI/CD for automated checks and rollback triggers. It validates operational readiness across target environments to ensure safe deployment conditions are met.

To check baseline regressions and guardrails for an AI deployment, run a structured readiness evaluation. It verifies that baselines show no regressions, guardrails are tested, and all criteria pass before producing a deployment decision.

Yes, this deployment checklist generates a formal deployment readiness report in the .plans/ directory for audits and compliance. It documents the pass/fail status of evals, costs, monitoring, and rollback plans.

The best way to document a rollback plan and monitoring configuration is to compile a comprehensive deployment readiness evaluation. This verifies monitoring is configured, rollback is documented, and produces a final GO/NO-GO summary.