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Notes on product leadership, AI-native delivery, and what we’re learning building products with ambitious teams.
The hardest part of product transformation isn't the technology—it's helping organizations navigate uncertainty and align around a different future.
How a solutions engineering role turned out to be the most formative product experience of his career—and why the detour wasn't a detour at all.
A reflection on how a father's example—quiet, principled, endlessly curious—shaped the leadership values that still hold.
Being right about a technology trend is not the same as capturing the value it creates—a pattern that holds from Minitel to cloud to AI.
Outcome pricing works when work is discrete, success is observable, and attribution is clear. Most software fails at least one of those conditions.
Thirty-four years of technology transitions share a consistent pattern: hype, bubble, then quiet embeddedness. AI is following the same arc.
When agents execute directly against data definitions, semantic consistency stops being a reporting concern and becomes critical operational infrastructure.
Building GeoSheet in a month compressed the timeline dramatically. Architecture, product strategy, and judgment stayed irreducibly human.
Speed changed everything except the core product question: what is actually worth building.
Product leadership, AI-native delivery, and building B2B SaaS.
Something worth digging into? Send a note. The best pieces start with a real question.