The problem
We've accelerated intelligence.
We haven't evolved how we work with it.
For the first time, technology isn't the limiting factor.
You can build almost anything.
Deploy agents. Connect MCPs. Generate software. Automate workflows.
The technology is no longer the hard part.
Knowing where it creates value is.
That's why the bottleneck has moved.
Not from humans to AI.
From building technology to designing how humans and AI work together.
It's designing a human operating model that keeps pace with it.
The response
Personal Operating Model
Over four weeks we redesign how you and AI work together.
Week 1
Build Mirror
- Connect your tools and data
- Capture your operating signals
- Build human context profile
Week 2
Recognize
- Surface unconscious patterns
- Connect behaviors to outcomes
- Define personal operating model
Week 3
Design
- Design operating protocols
- Configure AI around your work
- Build communication and decision loops
Week 4
Operate
- Establish daily operating rhythm
- Tune AI through real work
- Create continuous learning loops
From week five onwards…
- You stop repeating the same decisions.
- Your AI knows your context before you ask.
- Your team receives the right information automatically.
- Deep work becomes protected by default.
- Your operating model continues to evolve with you.
Why this matters
Change is my constant.
I've spent two decades living through technology transitions. Every few years the interface changes—but the job has stayed remarkably consistent: understand what the shift actually means, then build the systems people use to operate inside it.
Built AI and interactive products trusted by teams at Nike, Disney, BBC and Vimeo. Recognized with five international industry awards.
- 2005
Video leaves television.
Built one of the UK's earliest video-first web products, exploring streaming on the web years before online video became mainstream.
Question Can video become an internet-native experience?
- 2009
Video becomes interactive.
Co-founded WIREWAX and built the world's first browser-based video motion-tracking engine—connecting viewer intent directly to products, information and action.
Question Can video become a two-way medium?
- 2012
Machines begin to understand video.
Built production computer vision systems that tracked faces and objects frame by frame—with confidence scoring and human review, years before generative AI.
Question Can machines understand visual context?
- 2015
AI becomes a product.
Helped transition WIREWAX from bespoke innovation to a scalable SaaS platform, proving computer vision could become repeatable commercial software.
Question Can emerging technology become a business?
- 2018
AI enters real work.
Built AI services that processed media at production scale, saving thousands of hours of manual work and proving AI's value inside enterprise workflows.
Question Where does AI belong inside real organizations?
- 2021
Intelligence becomes infrastructure.
Joined Vimeo following the acquisition, redesigned Interactive strategy and helped double ARR—bringing emerging technology into an established product organization.
Question How do large teams adopt new technology?
- 2026
AI is everywhere.
Everyone wants teams to use it.
But, for what?
Today, the challenge isn't building AI. It's designing how humans and AI think, decide and operate together.
Questions
Isn't this just AI consulting?
No. Consultants recommend tools or build automations. I redesign how you operate with AI. The outcome might be agents, software, workflows or an app — but those are implementations. The real deliverable is a Personal Operating Model, built around how you naturally think, decide and lead.
Why don't I just hire an AI engineer?
Because an engineer can build what you ask for. My job is to help you work out what should exist in the first place — and once that's clear, building is usually the easy part.
Why can't I just use ChatGPT or Claude?
You absolutely should — I use them every day. Access to AI isn't the problem anymore. It's deciding where AI belongs in your work, your team and your decisions. The technology is no longer the hard part; knowing where it creates value is.
What is a Personal Operating Model?
It's the way you think, decide, communicate and work with intelligence. Most founders already have one — it just evolved accidentally. Together we redesign it intentionally.
What actually happens over the four weeks?
Week 1 — build a mirror of how you operate. Week 2 — recognize the patterns and bottlenecks. Week 3 — design the protocols, and the AI, around your work. Week 4 — embed it into your day so it keeps learning with you.
Who is this for?
Founders and operators navigating rapid change — people who know AI matters but don't want another pile of tools, and who are prepared to rethink how they work, not just what software they use.
What will I actually leave with?
A Personal Operating Model: AI configured around how you work, decision and communication protocols, and a system that keeps learning with you — so you carry less executive overload and do more meaningful work.
Why are you doing this now?
I've spent two decades helping businesses adopt emerging technologies — from computer vision to AI. What I've learned is that technology only creates value when it fits the people using it. That's the work I care about.