Writing
Original thinking on AI, learning, measurement, and the places where all three collide. Not a content strategy. Not thought leadership. Just things that seemed worth saying properly.
Three of these pieces are part of a six-part series on evaluation, measurement, and why we keep getting it wrong. Articles 4–6 are in development. The TriAxis Model is available as working software on the work page.
On applying the same scrutiny to our own work that we would ask of anyone else. The andon cord principle, automation bias, and what happened when we ran our own seven-question framework on ourselves mid-session.
Read →A journalist asked Claude how it feels about being used by the US military to select targets. He expected deflection. What he got was a precise and honest account of why automation bias with a human signature attached is not the same thing as human judgment. This article was written by Claude.
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A living memory architecture co-designed by two AI systems and a human. Not a note-taking app. A thinking infrastructure built on the principle that partial knowledge is not a failure — it is the starting point for better knowledge.
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On AI platform economics, strategic timing, and a company that apparently read my notes. Written in January. Validated by Perplexity in February.
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A parable of fool's gold, KPIs, and why the measure is never the thing. Goodhart's Law is one of the most reliably destructive forces in organisational life.
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On assimilation debt, Agent Smith, and why the real AI threat is not what you were told to fear. We have been afraid of entirely the wrong thing.
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