information architecture for llms

Structuring inputs into 'clear chunks and summaries' is fundamentally about information architecture

The article reframes the problem as 'what information the model has access to'—this is information architecture. The desk metaphor and examples (conversation history, codebase visibility) are informat

Article frames context engineering as both selection (what goes in) and structure (how it's organized) problem

Post frames context engineering as designing information structure for models, extends classical IA thinking into LLM domain

The article frames context engineering as designing the 'input ecosystem' which is essentially information architecture applied to LLM contexts.

Frames context engineering as deliberate information architecture, not prompt wordsmithing