AI in practice
How teams move from "we should do something with AI" to products and workflows that matter.
Insights
Practical thinking on AI, Web3, and the gap between trends and real execution.
Essays on AI strategy, Web3, digital product strategy, business models, and how emerging technology actually gets turned into products. Opinionated, experience-based, concrete — not content for content's sake.
Themes
Four ongoing threads.
Web3 beyond ideology
Where blockchain creates real value, and where it mostly creates noise.
Ecosystem design
Marketplaces, incentives, ownership, participation, and defensibility.
Founder execution
What product, strategy, and go-to-market look like when the market is early and the category is still forming.
Launch essays
The first six, in order.
Each is opinionated, experience-based, and concrete — written to answer real business questions, not to rank for generic keywords.
What most companies still get wrong about AI strategy
The pattern that burns the most time, budget, and credibility — and a sharper way to frame the decision.
Where Web3 adds real business value — and where it doesn't
A working test for separating blockchain use-cases that create leverage from ones that only add friction.
Product before protocol: a better way to build in emerging tech
Why the best emerging-tech products treat technology as a means, not a positioning asset.
Incentives are not a substitute for product-market fit
Token incentives, referral loops, and why the growth tool becomes the product problem.
Digital ownership, AI, and the future of user value
What changes when both creation and rights are native to software — and what that means for product design.
What emerging-tech founders need from positioning that actually converts
How to craft a narrative that works on customers, partners, and investors without collapsing into buzzwords.
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Beyond the essay