I work where people, strategy, systems, and hands-on building meet:turning unclear ideas into useful tools, better ways of working, and notes worth sharing.
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.
The 4x4 as a System: What My Ranger Raptor Has Taught Me About Capability
Notes from using, refining, and learning a vehicle-based adventure system over time. A reflection on tyres, power, recovery, winter camping, and why every improvement has a receipt somewhere else in the system.
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.
Building a Framework That Actually Moves Orgs
Most transformation frameworks describe the destination. The useful ones move you, guide you, and measure the shift. A walk through the discipline of building a calibrated internal framework — comparative assessment, council validation, the 'why this approach' page, and why movement has to come before alignment, alignment before benchmarking.
Building AI Systems at Higher Abstractions
The thing we engineer is climbing. The principles aren't. A look at why the harness is becoming the right unit of work in AI, what travels across abstraction layers, and what it takes to call the practice engineering honestly.