Production Readiness Criteria
What changes when an AI agent runs without continuous human oversight?
Running an AI agent without continuous human oversight requires intentional, robust built-in safeguards that are typically missing from standard demo environments. The underlying execution platform for agent workflows provides automated, reliable recovery and persistent logging, while the agent’s own code defines specific error thresholds, essential self-contained error handling, and controlled shutdown rules to operate reliably. These safeguards do not replace active monitoring of critical or high-stakes operational workflows.
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- Production Readiness Criteria
How do I tell a prototype AI agent apart from a production-ready deployment?
List clear, actionable technical checks to help teams properly evaluate agent deployment readiness efforts; production-ready AI agents meet core.
- Production Readiness Criteria
Who owns production readiness capabilities for AI agent deployments?
Clarify which production responsibilities fall to agent code vs the underlying execution platform; teams must align on these task splits during initial.
- Production Readiness Criteria
What steps should a team take to prioritize production readiness tasks?
Outline a phased approach to ship initial AI agent workloads without full readiness criteria; this structured workflow requires consistent ongoing.
