Introducing agent quality optimization in AgentCore — preview

AI Impact Summary

Amazon is introducing AgentCore’s new agent quality optimization capabilities, designed to shift from reactive, manual prompt tuning to a proactive, data-driven approach. This involves automatically generating recommendations from production traces, validating them through batch evaluation and A/B testing, and ultimately delivering confidence in agent deployments. The core value proposition is a closed-loop system that reduces the time and effort required to maintain agent performance and quality, enabling faster iteration and improved outcomes.