Short essays from the practice — observations from twenty years of product, engineering, and applied-AI work at close range. Published when there is something worth saying, not on a schedule.
Most enterprise AI programs die at the same place: not the pilot, not the model choice, but the org design decision the organization made without noticing it was making one.
Read →The old SEO rewarded budget. The new one rewards being worth citing — and the only way to know if you are is to measure like an engineer, not a marketer.
Read →The gap between a demo that dazzles and a system that survives real traffic is where nearly every enterprise AI program actually lives — and where nearly every vendor discussion is silent.
Read →Executive teams treat AI governance like a compliance tax and put it off. The operators shipping AI fastest are the ones who paid the tax first.
Read →Every enterprise LLM system will hit a moment where the team argues about whether the model got better. If nobody in the room can produce a number, the argument is not resolvable and the system is not maintainable.
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