My product work has lived inside environments where “move fast” is not a moral slogan. I have led and shaped digital products through discovery, alpha, beta, and live operation while cyber frameworks shift, clinical safety matters, migration risk sits next to user pain, and governance is part of the product surface — not an afterthought.

That context rewards a particular temperament: patience with ambiguity, impatience with vagueness, and a habit of making assumptions visible before they become incidents. It also rewards fluency across disciplines — not claiming expertise everywhere, but knowing enough to ask better questions and to broker decisions that survive contact with reality.

I am user-centred in the unglamorous sense: research and design tied to prioritisation, roadmaps that admit trade-offs, backlogs that reflect what we decided not to do, and live metrics that inform the next increment rather than decorate a report.

I care about narrative coherence inside teams — shared language between clinical, operational, engineering, and assurance partners — because most delivery failures are translation failures that hardened too early.

I am sceptical of product theatre: workshops that substitute for decisions, roadmaps that pretend certainty, and AI features that exist to signal modernity. I prefer small honest slices of value to large fictional ones.

Restormel, SOPHIA, and PLOT are not a separate hobby lane. They are where I stress-test execution: architecture boundaries, governance UX, pedagogy and trust, and household behaviour over time. If I cannot maintain a product thoughtfully, that is information — it tightens how I lead inside larger organisations too.

Writing on this site extends the same instinct: public, slow reasoning as a check on private certainty. Essays on AI and software economics sit next to case studies from NHS delivery because the through-line is judgment under constraint, not a tidy personal brand vertical.

Complex services that must stay safe, legible, and improvable while policy and technology move underneath them.

AI in operational products where interpretability, accountability, and proportionate governance matter more than demo polish.

Teams that need a senior product partner who can hold strategy and delivery in the same conversation — without collapsing either into slogans.