Event arc
Maintaining AI agent quality over time ensures better user experiences and reliable performance.
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AI BriefWire / Thread
AWS has introduced the AgentCore Optimization in preview, which helps improve AI agent performance over time. It generates recommendations from production data, validates them through batch evaluation and A/B testing, and enables confident deployment. This addresses the common issue of AI agent quality degrading as models and user behavior evolve.

Maintaining AI agent quality over time ensures better user experiences and reliable performance.
Amazon (AMZN)
Improved agent optimization can reduce operational risks and enhance product effectiveness.
Teams using AI agents should consider adopting this tool to maintain and improve agent quality.
Sources in this thread (1): AWS Machine Learning Blog
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AWS has introduced the AgentCore Optimization in preview, which helps improve AI agent performance over time. It generates recommendations from production data, validates them through batch evaluation and A/B testing, and enables confident deployment. This addresses the common issue of AI agent quality degrading as models and user behavior evolve.
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AWS has introduced the AgentCore Optimization in preview, which helps improve AI agent performance over time. It generates recommendations from production data, validates them through batch evaluation and A/B testing, and enables confident deployment. This addresses the common issue of AI agent quality degrading as models and user behavior evolve.