How I Learned to Stop Worrying and Love AI
World models, the AI Catch-22, and why adoption fails for the same reasons Agile did
Adaptive
"Systems of
the World"
Articles
A research series building a continuous argument: why AI projects fail, and what the architecture should look like.
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Research
How the platform concepts behind Bespoke Agile (Coherence, Codesign and Conductor) developed into ongoing research, with the papers that formalize them.
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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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Articles that build a continuous argument: why AI projects fail, and what the architecture should look like.
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
"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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