Writing
Essays as they stabilise. Worked-out positions on engineering, leadership, and what the AI era is doing to both.
- Writing
Engineering organizations for the AI era
Org charts are runtime systems. The AI era exposes which structures were load-bearing and which were ceremony.
- Writing
Why AI adoption fails structurally
Adoption rarely fails on the model. It fails on the seams between teams, contracts, and decision rights.
- KCC
KCC — Kernel · Capabilities · Cells
A reference shape for AI-native platforms: a small invariant Kernel, sharp Capabilities, autonomous Cells.
- Writing
Governance is not bureaucracy
Governance is the contract that lets autonomy scale. Bureaucracy is what happens when you forget that.
- Writing
Decision traceability in AI-native systems
Every meaningful decision an agent makes should be reconstructable from observable surfaces. Otherwise it isn’t a system, it’s weather.
- Leadership
Shu-Ha-Ri for AI-native teams
Form precedes freedom. Teams adopting AI need the form long enough to earn the right to break it.
- KCC
Capability promotion pipelines
The Capability Maturity Ladder — L1 Experimental → L2 Proven → L3 Golden Path — as a working contract, not a slide.
- KCC
The Inspector Pipeline
Observe → detect → propose → review → promote. The loop that turns Cell behavior into Kernel knowledge.
- Writing
Architecture as organizational design
Conway’s Law in reverse: choose the architecture that produces the team shape you actually want.
- Writing
From AI assistance to organizational intelligence
Individual productivity gains are a local optimum. The interesting question is what the organization becomes capable of.