Amazon's Nine-Stage Evaluation Framework for AI Agents on Bedrock AgentCore

It is a set of Amazon capabilities for building, running, and managing AI agents on Bedrock; in this context it provides the layer used to build a production-grade agent evaluation framework.

It is a gradual decline in answer quality that does not surface in conventional performance metrics such as latency, so response times stay flat while accuracy and relevance drop.

Traditional testing often focuses on model outputs alone, while this framework covers the full agent lifecycle across nine stages, including tools, memory, and multi-step behavior.

Teams deploying agents in sensitive environments such as government, financial services, or telecom need a continuous evaluation layer before scaling, because silent failures typically surface after launch rather than before it.