CONTEXT ARCHITECTURE

Summary from the TLDR Design newsletter

AI product design is evolving from prompt engineering to context architecture. As AI agents become more autonomous, their performance increasingly depends on how instructions, knowledge, tools, memory, and state are organized—not just on the prompt itself. Applying information architecture principles such as hierarchy, labeling, taxonomy, and memory design helps AI systems retrieve the right information, choose the right tools, and behave more reliably. The key challenge is no longer defining exact outputs, but designing the information environment in which AI thinks and acts.