Model Context Window Architecture for Cloud-Native AI

As we integrate LLMs into our cloud-native systems, a core architectural challenge emerges: building stateful, reliable AI. The problem? Base models are inherently stateless.

This talk introduces the Context Window Architecture (CWA), a practical design pattern for the most critical payload in your AI stack: the prompt. CWA is a layered pattern for strategically organizing instructions, retrieved data (state), and the user's query to create coherent, effective context.

Attendees will see multiple iterations of a chat-bot demo showing the direct impact of structured context. You'll learn how moving beyond ad-hoc prompting enables you to architect more predictable, stateful, and performant AI applications.