Amazon Bedrock AgentCore Evaluations become backbone of agent quality

The post cites a pre‑production test where a mismatch between data, tool, and prompt dropped the pass rate from 78 % to 38 %. It also describes how the framework applies at the tool, agent, and multi‑agent levels, with continuous integration, canary scoring, drift detection, and automated feedback loops.

The article is a technical overview, not a product launch, and it emphasizes that agent quality must be measured continuously to avoid silent failures that can erode customer trust.