The agent evaluation playbook: Built-in, DeepEval, and AutoEval on Amazon Bedrock AgentCore Evaluations

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When you deploy an agent to production, one of the hardest questions is whether it’s actually working? The bar isn’t whether it runs. It’s whether it does what the business needs, at scale. Many teams will tell you they can’t really see this. They spot-check outputs, watch latency, and collect user feedback when they can get it. None of that tells you whether the agent finished the user’s task, stayed on topic across a long session, leaked personally identifiable information (PII), or quietly…