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Applied AI

Every paradigm shift I’ve worked through — citizen-first government services, map-optional geographic data, a first-of-its-kind program I built at Princeton — followed the same pattern: recognizing the shift before it became conventional wisdom, then building the strategy to act on it. AI is the largest shift like this I’ve seen, and I bring organizations the same instinct: not just using the technology, but reframing how a team, a workflow, or a service should work because of it.

Making One-on-One Advice Scale →

Using AI to make one-on-one relevance scale for a real business with real clients, real data, and real tooling constraints.

Product Strategy, Systems Thinking, Content Strategy, AI-Accelerated Production
Using AI to accelerate production without outsourcing the design decisions →

Taking two Keller Center program pages from low-fidelity wireframes to high-fidelity comps — AI accelerated production, not the design thinking.

Audience Research, Information Architecture, Low-Fidelity Prototyping, AI-Accelerated Production, Usability Testing