Required reading
The canon
Essays that map the operating model behind serious AI execution: decision rights, platform boundaries, evaluation, reliability, governance, cost, and leadership cadence. Read in order if you can; each essay defines part of the system.
5 essays ยท updated May 2026
- 01 Build the System the Model Cannot Break AI-OPERATING-MODEL An AI-native company is not the one that adopts the model fastest; it is the one whose operating model the model cannot break. AI-NATIVE OPERATING MODEL · May 2026
- 02 The Throughput Engineer: Why Headcount Is a Lagging Metric AI-OPERATING-MODEL Headcount is a lagging metric; the real throughput ceiling is how fast an organization can decide. THROUGHPUT CULTURE · March 2026
- 03 The CTO Communication Protocol: Aligning Engineers, Executives, and Investors in AI Programs AI-OPERATING-MODEL AI programs fail when leadership communication stays ad hoc instead of becoming an operating protocol. CTO COMMUNICATION PROTOCOL · May 2026
- 04 Why Most AI Platform Teams Become the New Bottleneck AI-OPERATING-MODEL A central AI platform team becomes a liability when every workflow improvement has to wait in its queue. PLATFORM BOTTLENECKS · May 2026
- 05 How Great CTOs Design AI Roadmaps That Survive Contact With Reality AI-OPERATING-MODEL An AI roadmap is only real if it can survive latency, ownership, and workflow constraints in production. REALITY-TESTED ROADMAPS · May 2026
Each essay stands alone. Read in canon order for the full operating thesis: how AI moves from pilots and platform experiments into durable organizational capability.