ToolsThe story, in brief
Introducing agent quality optimization in AgentCore, now in preview
AWS just shipped the tool every AI team needs to stop agent decay in production.
The KeyNews take
Why it matters
AWS AgentCore's quality optimization tackles a real production problem: AI agents degrade over time as models evolve and user behavior shifts. This is table-stakes infrastructure for teams shipping agents at scale.
The key facts
4 to knowAWS launches agent quality optimization feature in AgentCore preview
Enables recommendations from production traces, batch evaluation, and A/B testing
Addresses agent performance degradation in production environments
Tool designed for continuous improvement of deployed agents as models and user behavior evolve
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evolve, user behavior shifts, and prompts get reused in new contexts they were never designed for.…