About — AI in the Group

I'm a running coach, org designer, systems thinker, and AI builder. This site is where I think out loud about what happens when AI becomes a participant in human systems — not just a tool sitting at the edge, but a node in the network.

Running Coach

I've been coaching runners for over 16 years, with more than 30 athletes trained across that time. At the peak of Mile Pursuit Coaching, I was working with 77 athletes concurrently — a number that required building real systems for memory, communication, and pattern recognition.

My coaching philosophy is patient, long-game, and fundamentally permission-giving. I'm not interested in the coach as authority figure. I'm interested in creating conditions where athletes can hear themselves better — where they develop their own sense of what's working, what isn't, and why. The goal is athletes who understand their own training, not athletes who are dependent on me to tell them how to feel.

I also have 25 years of my own training data, which gives me a specific kind of patience with the long arc of development. A lot of what looks like underperformance in year two looks like foundation in year six.

Org Design

I spent years working on organisational design and complexity at The Adaptavist Group (TAG), a global software and services company. That work was grounded in systems thinking — the idea that organisations produce the behaviour they produce because of how they're structured, not because of who's in them.

The tools I kept reaching for were facilitation, structural framing, and what I'd broadly call sensemaking: helping groups understand what kind of problem they're actually in, before they start solving it. Cynefin, sociometry, viable systems model — frameworks that help distinguish between complicated problems (where expertise helps) and complex ones (where you need to probe first).

AI Builder

I'm a hands-on AI builder. I use Claude Code heavily for development work — pipelines, home automation systems, data infrastructure. I've built a significant body of personal tooling: a home bridge that connects Hue, WiiM, Ring, and a dozen other systems; training data pipelines for coaching; prompt engineering infrastructure that's evolved into something like an operating system for AI-assisted work.

I'm not just a user of AI tools — I think a lot about how they're architected, what makes them reliable, and what happens at the boundary between AI judgment and human judgment.

AI in the Group

"AI in the Group" is the name I've given to the thing I'm most interested in right now: what happens when AI becomes a participant in group dynamics, not just a tool that individuals use privately.

In coaching sessions, in team retrospectives, in strategy workshops — AI is increasingly present as something that holds memory, surfaces patterns, and shapes what gets said. That changes the dynamics. Understanding how it changes them, and what to do about it, is what this site is about.

I come at it from three directions: coaching (what changes in a two-person relationship when AI joins it), org design (what AI reveals about how organisations actually work), and building (what you learn about AI by building with it). None of those alone gives me the answer. But each gives me a different lens on the same question.