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Why Visual Views Solve the Documentation Problem in AI Systems

Research into context architecture, error rate scaling, and why documentation fails as a discipline but succeeds as a structural byproduct.

By Tony Turner

The Paper

As AI-assisted development scales, error rates increase with application complexity. The root cause is not AI capability—it's context architecture.

This paper introduces Spatial Context Theory: hierarchical visual views that eliminate the documentation problem by making documentation a generated output rather than a maintained input.

Problems Addressed

  • The Black Box Problem — humans and AI need mutual visibility
  • The Guessing Problem — LLMs guess when context is insufficient
  • The Context Problem — too much or too little triggers failure
  • The Scaling Problem — error rates increase with complexity

Advisory

For enterprise teams facing context, documentation, or AI scaling challenges. Starts with a conversation.