Beyond the Chatbot: A Blueprint for Trustable AI

This post describes a real-time AI racing coach built by Google Developer Experts using a split-brain architecture tested at Thunderhill Raceway.

• •A split-brain architecture separates edge reflexes (Gemini Nano via Chrome Web API, ~15ms response) from strategic lap analysis (Gemini 3.0)
• •Google's Antigravity (AGY) framework orchestrated stateful agentic routing between models and managed real-time Firebase state
• •A Neuro-Symbolic Training method using QLoRA fine-tuning on a "Golden Lap" baseline mathematically verified coaching advice against physics laws
• •Persona-based routing ("Gemini Squad" agents like AJ the Crew Chief) delivered context-aware guidance with cognitive load management via a refractory period
• •The full development cycle was compressed from three months to two weeks using natural-language-driven orchestration in Google AI Studio and Vertex AI