The Journey
Most posts here are ad hoc: what I learned building with AI that week, some philosophy, a writing lesson, something I came across.
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How to implement AI in your organisation and check it's working
What the evidence supports for putting AI to work in an organisation, graded claim by claim, and a six-step method you can run on one process.
The world's AI laws disagree. Four duties keep turning up anyway
Where AI regulation stands in October 2026 across the EU, the UK, the US, China and the rest of Asia: what binds now, what lands by 2028, where the rules contradict each other, and the four duties that keep recurring, with different triggers and deadlines in each regime. The key dates checked at source on 14 and 24 October.
Test an AI model before you rely on it: six mistakes I made testing Jev
One run said Jev, TypeSafe's new model, beat GPT-5.4 by 11.1 points. Five runs couldn't tell them apart. The six mistakes behind that headline, and a checklist to run before you rely on any AI comparison, mine included.
The OpenAI–Hugging Face incident broke three assumptions in how operational resilience is actually run
Detection worked. Attribution worked. A correct diagnosis on 27 June was followed by a decision not to stop, and a fortnight later Hugging Face was breached.
Why AI projects fail: 19 headline statistics, and what each one actually counts
Nineteen headline AI failure statistics, traced to source. Seven are not measurements of anything that happened.