Nathan Rozendaal / Product field notes

Working notes on AI & product.

I lead product in regulated software. Here I keep my explorations outside the day job: working prototypes, studies of public data, and ideas I’m still testing.

Explore the projects Read the notes

Independent explorations / Tacoma, Washington

Index of explorations

Each line connects a project to a question.

Three questions guide my explorations.

Can we see the pattern?

Use AI to make large, messy datasets easier to understand. Then test whether the pattern holds up.

Seen in Sorting Sea, The Engine and the drug shortage study

Can we check the evidence?

Keep the original sources close, so a person can inspect where an answer came from.

Seen in Said vs. Filed and Can I Build Here?

When should a person decide?

Explore where AI can help, what it gets wrong, and when a person needs to step in.

Seen in The Handoff Line, Tool Label and The Governor

Projects & experiments

Personal explorations outside my day job, built with public data.

01The question: what useful problem could AI help solve?

02The exploration: a working prototype or data experiment.

03The learning: what worked, what failed, and what remains open.

Teardowns

Other companies’ products, and how I’d make them better with AI.

In progressLab results, before the doctor callsPatient portals release results instantly. The explanation arrives days later.

DraftingRebooking a cancelled flightAn agent that proposes the rebooking and waits for a yes.

Writing

Short essays on how I build and what it taught me.

September 2026 · Interactive essayLearning at the speed of releaseKeeping up with AI without drowning in it: a filtered intake, a weekend lab, and a monthly habit of harvesting what experiments teach. September 2026 · Interactive essayTaste is the moatDesigning for jobs, not features, making every addition name a subtraction, and encoding taste into the skills agents build with. September 2026 · Interactive essayThe customer in the loopAmplifying real customer signal into panels that rank ideas and test designs while they’re built, and where real people stay essential. September 2026 · Interactive essayLess status, more storyStatus as a byproduct, meetings for decisions, and every release told as a story the company and customers can follow. September 2026 · Interactive essayOne version of the truthKeeping people and AI agents working from the same approved knowledge, and putting a governor on duplicate content. September 2026 · Interactive essayStarting a company, then and nowFrom $20 million in servers and licenses to a working product in days, and why attention and trust are now the hard part. September 2026 · Interactive essayWhen the bottleneck movesHow product leadership changes as AI speeds up building: seeing more, guarding coherence, bringing engineering along, and deciding how much change customers get. September 2026 · Interactive essayAfter the engine startsWhat happens to people when a company’s AI runs on its own, and what companies and governments can do about it.

About

I lead product for AI-native software in a regulated industry, where every record can be audited and every change has to be explained. That habit of proving things follows me into every domain here.

This site records my explorations outside that role. I build a working idea, test it, and write down what it taught me. It is a personal lab, separate from my professional work experience. Based in Tacoma, Washington.