I build AI products that are honest about what they are.
Four live tools: a digital twin for a brewery, a dissertation coach for students, a relationship mediator and a university module on trust. Plus over a decade in the EV world, and the engineering underneath all of it.
BrewAI
Digital twins of working breweries that show brewers where the energy goes, and how to cut it.
BrewAI turns a working brewery into a live digital twin. Circuit-level sensor and energy data, captured continuously for nearly three years, feeds AI models that let brewers simulate changes, cut energy and carbon, and produce verifiable emissions data they can actually stand behind.
Most sustainability AI runs on estimates and annual averages. BrewAI has almost three years of continuous, circuit-level energy data from a live brewery, down to individual pieces of equipment. There's no shortcut to data like that, you have to collect it day by day.
Co-founder and Technical Lead. Designed the architecture, data pipeline, models and product from first prototype onward.
- Backed by Innovate UK's iCURe programme (Stage 3) and EIT
- ~3 years of continuous circuit-level sensor and energy data
- Live brewery pilots UK-wide
- On a spinout track
Ship My Dissertation
Project management built for the one big project most undergraduates have never done before.
Ship My Dissertation gives students a plan, milestones and AI-guided support for the undergraduate dissertation, a process that usually runs on panic and a January all-nighter. It treats the dissertation as what it is: a real project most students have never been taught to run. It's a working MVP, and I'm now talking to universities about pilots.
Fifteen years of teaching project management went into this, and I wrote the code as well. I didn't have to describe the tool to a developer and hope, I could just build it.
Founder and Builder.
- Working MVP, live and usable
- Active implementation discussions with HEIs
- AI-guided support built in
Harmony Mediator
A privacy-first AI relationship mediator. The intimate conversations stay on a self-hosted model.
Each partner talks privately to a neutral AI mediator, which works out what matters to the other person and returns separate guidance to each side. Neither party ever sees the other's raw words, a caucus model borrowed from professional mediation. The mediator core runs on a self-hosted, open-weight LLM so intimate conversations never leave home turf, with frontier models reserved only for specific safety-critical roles.
Anything intimate stays on a local, open-weight model. Frontier models come in role by role, only where safety genuinely needs them. And the caucus design means there's just no route for one partner's words to reach the other.
Founder and Architect.
- Caucus model: neither partner ever sees the other's actual words
- Mediator core runs on a local, open-weight LLM
- Frontier models only for specific safety-critical roles
- Encrypted in transit and at rest · single trusted operator · minimal retention
Who Can You Trust?
An interdisciplinary module on working out who to trust, now that deepfakes, scam reviews and AI slop are everywhere.
An eleven-week online module about deciding what to believe, when a deepfake, a five-star scam review and a friend's hot take can all land in your feed inside five minutes. Fully online, fully interdisciplinary, open to any student on any course, with no exam: students build a real analysis of a manipulation case and reflect on it. Now in its second year at ARU, and being packaged as standalone e-learning.
Because it's fully online and open to any course, any student at an institution can take it, and there's no exam to timetable: assessment is a real manipulation-case analysis instead. It's been through one full cohort at ARU already, with the student feedback to show for it.
Designer and Lecturer.
- Eleven-week module, in its second year at ARU
- Fully online, interdisciplinary, open to any course
- Authentic assessment (manipulation-case analysis plus reflective essay), no exam
- E-learning packaging planned
“I went in half-assed, convinced I knew how to sniff out the lie already. I was wrong.”
Credibility
A selection of the things I do and who I've worked with…
On Teaching
“I emailed him the other night with questions about the assignment and he responded within hours, which is really a massive thing at this university. It is often difficult to contact staff for help. This is a massive deal for me personally.”
“Tom is very engaging and clearly passionate about what he teaches.”
“Tom has been a great module leader, he makes the classes extremely engaging and actually enjoyable to join.”
I build AI products, lecture at Anglia Ruskin University, and have spent over a decade in the EV and automotive world.
All of it is technology that has to work in the real world: a brewery's carbon data, a student's first big project, the future of electric transport. MSc in Computer Science, Fellow of the HEA, Member of the BCS.
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