AWS shares a nine-stage evaluation framework for production AI agents on AgentCore
Original titleBuilding trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore
AWS Machine Learning Blog describes a nine-stage framework for evaluating production AI agents, built on Amazon Bedrock AgentCore Evaluations, covering development from first commit through live production.
The post reports that the framework cut detection time for quality regressions from days or weeks to under four hours, with figures drawn from an internal AWS Field Sales agent system.
The post walks through a nine-stage evaluation lifecycle built on AgentCore Evaluations, with concrete failure examples that show how each stage catches problems, useful for teams designing agent quality gates.
Source: AWS Machine Learning Blog · aws.amazon.comPublished · added here