AWS documents a nine-stage evaluation loop for production agents
AWS published the evaluation framework used for an internal multi-agent sales system, spanning golden sets, experiments, CI, deployment gates, canaries, adversarial tests, drift, live monitoring and feedback. AWS says the process caught unsupported financial claims and a mismatched release that cut a pass rate from 78% to 38%.
Why it matters: The case study shows why uptime and latency cannot detect fluent but wrong agent outputs, and why tools, sub-agents and orchestration need separate evaluation contracts. It turns continuous agent evaluation into an inspectable operational sequence rather…