I'm currently working on a technical session around productionizing agentic AI systems on AWS. A lot of demos work well in prototypes, but once you try running

I'm currently working on a technical session around productionizing agentic AI systems on AWS. A lot of demos work well in prototypes, but once you try running agent-based workflows in production you start seeing issues around orchestration, tool reliability, latency, and cost control. So I've been putting together some architecture patterns and real-world approaches teams are using to make these systems more reliable in production environments.