Exploring how visual and spatial approaches solve fundamental problems in AI systems.
Documentation isn't a discipline problem. It's an architecture problem.
AI errors don't scale with capability. They scale with context failure.
Manufacturing isn't too hard. It's underserved.
This is what we research. This is what we build.
Tony Turner | June 2025
As AI-assisted development scales, a critical failure pattern emerges: error rates increase proportionally with application complexity.
This paper argues the root cause is not AI capability, but context architecture. Documentation fails because it's treated as a writing discipline rather than a structural byproduct.
We propose Spatial Context Theory: hierarchical visual views that eliminate the documentation problem entirely.
AI builds. Humans can't see what. Humans intend. AI can't see why.
When context is missing, AI guesses. At scale, guessing compounds into failure.
Too little context: guessing. Too much context: noise. Both fail.
Error rates don't stay flat. They scale with complexity. Until AI becomes a liability.
Our visual approach solves all four simultaneously.
The Concierge Model: Why One Agent Per Customer Changes Everything
Visual Automation: From Documentation Problem to Documentation Byproduct
Manufacturing + AI: Why Traditional Industries Are the Real Opportunity
Context Architecture: What Enterprises Get Wrong About AI Deployment
We don't just write papers. We build what we propose.
Founder, Hotchilli | Research, SpatialThinking.ai
30 years of systems thinking applied to hard problems.
“We solve problems others want to ignore.”
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