architecture

**AI Architecture** is the high-level design of systems that incorporate artificial intelligence, focusing on the flow of data, the orchestration of models, and the management of state. A well-designed architecture ensures that an AI application is not only accurate but also cost-effective and easy to maintain.

We analyze the different architectural patterns for AI, from simple "One-Shot" completions to complex "Multi-Agent Systems" and "Recursive Planners." This includes the study of memory management (short-term vs. long-term), context window optimization, and the selection of the right model for the right task (Routing). We also discuss the importance of modularity, allowing individual components of the AI brain to be updated or replaced without breaking the entire system.

Modern AI architecture is moving toward "Distributed Intelligence," where components run across cloud and edge environments. We provide the blueprints for building these hybrid systems, ensuring that your application remains performant and scalable as user demand grows. Our architectural insights provide the strategic foundation needed to build the most advanced intelligent systems of the next decade.