I'm Vanessa — a PhD chemist who taught myself to build with Claude. I can't look at a process without wondering how to make it more efficient — the ideas start flowing and I have to build them. Apps families use, a free Google Slides add-on anyone can grab (more to come!), tools for industry and research, and an operating system that makes Claude govern, verify and improve itself.
I spent years as a chemist — a PhD in Green Chemistry, published in mass spectrometry, building machine-learning classification models for cannabis samples long before "AI" was a headline. Some of it was in QC labs under GMP/GLP/FDA rules, where I learnt auditing, traceability and validation fast — the exact discipline my Claude system runs on today. I've also been a teacher and tutor to students all over the world.
Then I started building with AI — and eventually with Claude in particular — and I couldn't stop. With zero formal programming background, I taught myself to scope, ship and improve real products: apps my family actually uses, free tools lots of people can pick up — like a Google Slides add-on I built for my own business — and the system that runs underneath it all, in only a few months, since April 2026.
What I care about is useful, honest work that helps people — which is why most of what I build is free. More than any single field, I'm drawn to making processes better and as efficient as possible. My interests run wide: science, research and industry, education, tools for families, accessibility. Right now, while I homeschool my daughter until she's old enough for public school, learning and family tools are simply where I'm focused — far from the limit of what I want to build.
Every one of these is a real, working project — most you can open and test right now. My interest runs well beyond teaching, into industry and research too; right now there are more learning tools here simply because that's where my days go, homeschooling my toddler. They're honest first versions: I note what's live and what's next for each, because the work is ongoing.
It isn't an app you can open — it's infrastructure. A system of rules, automatic checks and self-audits I engineered so Claude works like a careful, senior teammate: it plans, verifies, logs and improves itself every session — while I stay in the loop, watching, verifying, evaluating, correcting course and making the final call.
This system is self-taught. I designed and built my Claude operating system independently, drawing on the discipline I developed in regulated QC labs — auditing, traceability and validation — which I consolidated quickly during my short time working there, then refining ideas from the wider community into something more complete. By the time I took Anthropic's AI Fluency and Claude 101 courses, this way of working was already second nature; I passed both 10/10. Their 4D framework didn't teach me these habits — it gave precise names to practices I had already adopted.
That instinct came from regulated-lab work — picked up fast — and from teaching myself the rest.
Hooks & scheduled audits run themselves — no reminders needed.
Claude and I build as thinking partners, every session.
The COS lets Claude act, verify and self-correct on my behalf.
I designed these guards around how an ADHD brain actually works — but they help anyone: best-quality output, shipped on time, without the hours lost to changes nobody needed.
Anthropic's courses teach you to use Claude well.
I built an operating system that makes Claude govern, verify and improve itself.
None of it runs unsupervised. I stay in the loop on every build — reviewing the work, correcting it, and stopping to re-steer the direction when needed. The system does the heavy lifting; the judgement stays human.
Before the system existed, I was already building. These came first — made with other AI tools — and they're exactly why the COS exists now: as I revisit each one, I'm rebuilding it better, the right way.
Honest note: a few of these were debugged with other tools — like z.ai — when my free Claude usage ran out. Building on a budget is part of the story, and stretching free tools is a skill of its own.
A few of my most recent certifications. During my years in industry at Cytiva and Teva I earned many more — GMP, quality and lab-systems training among them.
Anthropic · passed 10/10 ✦
Anthropic · passed 10/10 ✦
Loughborough University, UK
UK Government
What pulls me most is purpose. I've chosen most of my roles — including my last, in the QC lab of a medicines manufacturing plant at Teva — because the work reached every patient who needed those drugs to heal or manage their symptoms. That's the thread in everything I build: I want to put my skills to work for the right people, doing the right things — which is why a non-profit or mission-driven team draws me even more than industry. If that resonates, I'd love to talk.