Product Manager who builds, writes, and researches AI.
I came to product the long way: a decade of support, engineering, and staying close to customers. I turn messy real problems into things people actually want to use, whether that's an AI product, a side project, or a book. Lately I also write conceptual AI research papers on language agents — memory, individuation, and successor-model lifecycles.
I study in agents what I practice in product: quality — and identity — are formed by staying accountable to a specific counterpart over time.
Right now that work is my full-time chapter — and I'm open to my next product role.
Selected work

Case study
Rebuilding the Quiz editor used by thousands of Shopify brands as AI-native
How I diagnosed the problem with my own first-use recording and an NPS survey, then led a ground-up redesign of every surface: the canvas, components, live preview, and an AI assistant that edits by chat.
Read

Featured project
Jiddu — read any text with a critical mind
Four tools in one for reading critically: a fallacy detector, a fact-check pipeline, a neutrality assessment, and a paper explainer. It runs in the browser, over a REST API, and through a hosted MCP server, grounded in two recent research papers.
See the project

Conceptual AI research
Six papers on language agents, memory, and individuation
Independent conceptual work on what language agents inherit across model successions, whether scale alone yields a persistent self, how perspective forms, and why stable deference may need a self-model first.
Read the papers