Resources & Perspectives
Blog
Ideas, analysis, and perspectives on how the built world is designed, validated, and constructed.

AI systems in construction are built to approximate. Buildings are not. When mistakes slip through, they don’t stay abstract—they turn into rework, delays, and real cost. This piece explores why probabilistic AI falls short in the built world, and why any system that hopes to be trusted needs to be deterministic, traceable, and defensible.