Practical writing on product, data and AI.
Short essays for founders and leaders who want clarity over hype.
AI-Native Organizations
9 min read
The three parts of a company brain.
A company brain is not one system. Ambient AI memory, deterministic governance and the boring systems of record each need different guarantees, and conflating them is the architectural mistake founders are making right now.
Read article →AI Strategy
6 min read
The AI upgrade path.
Companies don't adopt AI in one move. They climb: learn, equip, transform, productize. Knowing your stage tells you what to do next; and what help is worth buying.
Read article →AI Strategy
7 min read
The three diamonds of AI value.
Most AI programs do not fail inside the work itself. They fail in the gaps between problem discovery, solution design and value realization.
Read article →AI-Native Organizations
12 min read
Scrum 3.0: AI Changed the Bottleneck, Not the Need for Product Discipline
AI-assisted development shifts the constraint from implementation capacity to product judgment, context quality and validation. Teams still need discipline; it just has to move upstream.
Read article →Also in preparation
More essays coming.
Upcoming pieces will be published here as they are written. No filler. No recycled AI hype.
- 01Why most AI projects fail before they start
- 02Data products vs dashboards
- 03How SMEs can benefit from AI without building their own models
- 04The future of AI-native organizations