i grew up in bozeman and went to bozeman high school, where speech and debate made argument quality feel like a real craft instead of a school exercise.
soccer, singing, and public speaking all ended up training the same muscle for me: stay composed, listen closely, and make the next move feel natural.
i started college at cu boulder's leeds school of business, then moved to claremont mckenna for economics and the financial economics sequence.
i attended openai devday in san francisco on september 29, 2026. agents, context, and tools keep bringing me back to the question of what becomes useful when models can work inside real workflows.
Economic starts with a target of hundreds to thousands of agents working toward one outcome. tens to hundreds of thousands are the longer-term theoretical ambition. the work is about keeping quality, coordination, budgets, and human oversight useful as the number of agents grows.
my earlier work spans private ai context with LK Integrate, prediction markets, research and training systems, and macos tools for seeing what agents are doing.