Introducing the agent performance loop: AgentCore Optimization now in preview

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.

AWS Machine Learning Blog

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Event arc

Continuous optimization ensures AI agents remain effective despite changing conditions.

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Amazon (AMZN)

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Improved agent performance can lead to better user experiences and operational efficiency.

Operator take

Teams using AI agents should consider adopting this to maintain and enhance agent quality.

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Sources in this thread (1): AWS Machine Learning Blog

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