AI Orchestration: Bridging the Gap Between Model & Map
AI as a Laborer, Not a Lead
The Philosophy
I treat AI as a core member of my product team. In my orchestration process, I engage in the exact same high-level strategic conversations with the model that I would have with the Product Managers to establish a roadmap, the Frontend and Backend Developers to architect the data flow, and the Designers I manage to refine the user experience.
By treating AI as a colleague rather than a static script, I can pressure-test concepts in real-time. However, this level of professional trust comes with a daily reality check: AI is absolutely incredible with what it can do, but it can be so dumb in the dumbest ways. My role is to provide the senior-level oversight necessary to transform raw LLM output into high-utility, production-ready applications.
Safe Stride
Mapping Collective Intelligence for Urban Safety
SafeStride is a specialized cartographic utility designed to help women navigate major cities like Las Vegas and Denver with confidence. By synthesizing real-time data from municipal police reports and community forums into a dynamic Mapbox heatmap, the app transforms fragmented noise into actionable environmental intelligence. To ensure a high-trust social environment for group activities, I architected a fintech-grade biometric "Doc + Selfie" verification gate, establishing a 1:1 human-to-account ratio for the community.
Soundcheck
Unifying a Fragmented Local Music Ecosystem
Soundcheck Denver is a three-sided marketplace that connects fans, artists, and promoters within a single, high-fidelity experience. By building a custom orchestration layer to scrape and normalize live data, the app surfaces verified presale codes and "pop-up" show alerts that were previously buried in disparate corners of the web. The platform streamlines the B2B booking pipeline, providing venues with a vetted, searchable database of local talent and real-time artist availability.