The gap between a working demo and a production agent is architecture, not prompts. This talk examines the engineering discipline emerging around reliable agents: context engineering that treats memory as infrastructure, not afterthought; observability that traces multi-step reasoning chains; and constrained autonomy that favors narrow, specialized agents over ambitious generalists. Drawing from industry patterns and production failures, learn what it actually takes to ship agents that work at scale.