{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1cb3ff4c0b8b4d1c863566ae8df67fb4\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1cb3ff4c0b8b4d1c863566ae8df67fb4-e01bfa97816505ea.gif","duration":583.467,"title":"AI NLF Draft Simulator Architecture Walkthrough 🚀","description":"Hi guys, I am Anu, and in this Loom I walk you through my NLF MOOC job simulator draft app architecture and a quick demo. I run it locally, show 7 teams and 30 prospects from two JSON files, and when I draft Travis Hunter the AI auto picks the next player, updates the pick log, and continues until the draft is complete. The backend is FastAPI with three endpoints and a builder AI pick function that sends needs, available players, and current picks to a Grok LLM. If Grok fails, the backend falls back to the highest ranked need position. No action was requested from viewers."}