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AWS Shares Nine-Stage AI Agent Evaluation Framework, Reports Faster Regression Detection

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AWS’s Sales, Marketing, and Global Services Operations team shared a nine-stage evaluation framework built with Amazon Bedrock AgentCore for an internal sales intelligence system, reporting that automated evaluation cut quality regression detection time from days or weeks to under four hours. The framework combines domain-specific evaluators, versioned reference datasets, checks in the software delivery pipeline, continuous monitoring, and improvements guided by execution traces. It evaluates tools, individual agents, and multi-agent workflows as part of a continuous quality improvement process. The dataset evaluation capability used in the framework is in public preview.

Generated by AI from reports · Updated 8 hours ago

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10/17
  1. Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore

    AWS explains how its SMGS Operations team built a nine-stage evaluation framework with Amazon Bedrock AgentCore for an internal sales intelligence system. The framework combines domain-specific evaluators, versioned golden datasets, CI/CD gates, continuous monitoring, and trace-driven improvements across tools, agents, and multi-agent workflows. AWS reports that automated evaluation reduced quality regression detection from days or weeks to under four hours.

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