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AI Context Architecture Primer

A concise architecture primer for keeping project context coherent across models, sessions, files, and tools.

Use it when AI work is fragmented across chats and the project needs a durable context layer.

Inside this resource

A practical starting point.

  • Source context
  • Working context
  • Conversation context
  • Project memory
  • Retrieval boundaries
  • Model portability
  • Provenance

This first edition is intentionally concise. Each resource can later grow into a downloadable template, code reference, interactive canvas, checklist, or versioned asset without changing its public URL.