Building an AI agent is only the beginning. The real challenge starts after deployment, when every prompt adjustment risks fixing one issue while quietly introducing ten more. The difference between an agent that appears to perform well and one that consistently delivers the right outcomes lies in rigorous evaluation, continuous monitoring, and disciplined refinement. Learn how to move beyond intuition, confidently measure the impact of every change, and continuously improve AI agents with production-ready reliability. 

Discover how to accelerate the development of intelligent, conversational AI applications with Google's latest Genkit Agents API.  Learn how developers can simplify the complexity of building agentic, full-stack applications by combining conversation management, tool orchestration, state persistence, streaming, and frontend integration into a unified framework. Explore practical approaches for creating scalable, production-ready AI experiences with support for multi-agent workflows, human approval, and long-running tasks. 

ELCA 需要一个更可靠的平台，以满足受严格监管的行业中客户对数字主权日益增长的需求。国家级 司法数字化项目“Justitia 4.0”需要一个大规模的企业级基础架构，该基础架构应具有增强的安全功 能，并覆盖瑞士境内的 3 个数据中心。为了满足这些需求，ELCA 实施了基于红帽 OpenShift 构建的 托管云环境。该平台将部署时间从数周缩短到数小时，通过多租户最大限度地降低了成本，并通过内 置的监管和自动化功能增强了控制。借助红帽 OpenShift，ELCA 持续提供主权云解决方案，既满足 合规性与可扩展性要求，又助力维护客户长期信任关系。 

Washington Health Benefit Exchange operates Healthplanfinder, an online insurance marketplace used by one in four state residents to find, compare, and enroll in coverage. To accommodate massive, rapid growth during the COVID-19 pandemic, the organization sought to replace its complex existing infrastructure with an integrated, microservices-based architecture. Working with Red Hat and Deloitte, the organization adopted Red Hat OpenShift to take advantage of iterative scalability on its private cloud. The team also used Red Hat Application F...