Production Readiness Criteria
What failure recovery do production AI agents require that prototypes skip?
Production AI agents require automated failure recovery capabilities that prototype deployments do not implement, as manual intervention is not feasible at scale. This covers restarting failed individual workflow steps, reverting to valid prior recorded system state, and mitigating duplicate work during recovery operations across distributed deployments. A critical boundary to note is this recovery framework is not designed to resolve every single failure, only to support consistent handling of unexpected operational interruptions.
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