Writing and shared thinking.
Notes on technology, leadership, making, and the broader questions I'm working through. Some come from practical AI and organisational change; others come from side projects, experiments, and trying to understand how things work.
The AI Event Horizon
The AI event horizon is the threshold where AI stops behaving like a tool beneath us and starts changing the altitude at which useful work happens. A note on time stretch, cross-altitude conversations, and why translation matters now.
Stop Automating. Start Redesigning.
AI creates the most value when we change the shape of the work, not just the speed of the task. A look at why automation preserves old workflows, how AI exposes weak work design, and what redesign actually looks like in software delivery.
The Shape of My Curiosity: What My Chat History Taught Me About My Own Thinking
What a long-running AI conversation archive can reveal — and what it can't. A reflection on the patterns hiding in repeated questions: systems thinking, capability-building, the bridge between strategy and hands-on work, and the quiet pull of earned agency.
The Methodology Behind a Workflow and Its Harness
Reliable AI outcomes don't come from better prompts or better tools. They come from a designed workflow, a harness that supports it, and gates that catch the failure modes. A walk through the methodology in the order I actually use it — including when the right answer is 'this doesn't need a harness at all.'
AI Fluency Isn't One Thing
Most maturity models can't tell you what to do about AI fluency, because they measure either where the org sits or what a person can do — almost never the bridge between them. A look at building that bridge, why I picked dimensions over levels, and the three tests every productive maturity framework should pass.