AI-native product design
Detection of systems where the model is the interaction, not a chat panel bolted onto a SaaS shell. Voice, agents, ambient assistance. Strong recurring signal.
Senior product designer and AI-native builder under continuous observation since 1998. Currently visible to the naked eye in the Portland sector. Open to new orbital partnerships.
Each labeled star is a major observed position. Faint connecting lines mark the trajectory through the career sky. Hover any star for the observation log.
Recurring frequencies detected across multiple observation cycles. These are the bands where the subject consistently radiates.
Detection of systems where the model is the interaction, not a chat panel bolted onto a SaaS shell. Voice, agents, ambient assistance. Strong recurring signal.
Production-quality prototypes built end-to-end by one operator. Next.js, TypeScript, Tailwind, Vercel. Confirmed via direct observation of shipped artifacts.
Ambiguous brief → research → frame → prototype → shipped product. Comfortable carrying weight when the roadmap doesn’t yet exist.
Untangling legacy workflows — cart, checkout, account, internal tooling — and replacing them with systems people want to use. Walmart, Kohl’s.
Custom copilots, prompt libraries, synthetic research environments, workflow accelerators. Used by real teams, not just presented in decks.
Built and led prototyping teams at Yahoo. Now driving AI adoption in a design org through teaching, tooling, and example. Comfortable as IC, lead, or director.
Independent artifacts shipped through AI‑Created. Each maintains a stable orbit. Hover the diagram or scan the manifest at right.
Aggregate readouts from twenty years of continuous tracking. Honest numbers — not normalized.
The object is currently receptive to incoming transmissions. All channels are open.
Tell me what you’re building, what’s ambiguous about it, what timeline you’re on. Direct is fastest.
Initiate transmission ↗