Adaptive
"Systems of
the World"
Articles
A three-part research series building a continuous argument: why AI projects fail, what the architecture should look like, and whether coherence-driven development actually works.
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AI + Business
Compliance scanning, cross-functional alignment, and agentic pipeline orchestration — three products built on a shared graph model.
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AI + PM
A product development framework built on ten years of practice — rooted in the belief that sustainable systems are more beautiful than fast ones.
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Three articles that build a continuous argument: why AI projects fail, what the architecture should look like, and whether coherence-driven development actually works.
World models, the AI Catch-22, and why adoption fails for the same reasons Agile did
Procedural models, agent swarms, propagation waves, and the rational AI stack
Implementation: graph-based coherence engines, work cycles, and role adaptation metrics
"Coherence, not velocity, is the metric that matters."
Most AI adoption fails because it optimizes the wrong thing. The same patterns that derailed Agile transformations — velocity theater, process-over-people, tooling without theory — are repeating with AI. This site collects an alternative view: that adaptive systems built on shared understanding outperform fast systems built on assumptions.
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