Browse the archive by recurring themes.

Practical writing, research, and Agent Canon notes on agentic systems that need to operate reliably in real organisations, not just impress in demos.

Board-level AI governance, risk, accountability, oversight, and the operating disciplines needed to keep powerful systems useful.

Operating models, workflow design, execution cadence, and the translation layer between strategic intent and daily reality.

Data, architecture, APIs, knowledge stores, and the public infrastructure that lets humans and agents find trustworthy information.

Leadership judgement, decision quality, CEO and board work, peer learning, and the human side of technology adoption.

Cost, value, ROI, token spend, hidden waste, and the economic choices behind practical AI adoption.

Learning, teaching, critical thinking, skills, and how people build capability around AI and agentic systems.