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Endigest AI Core Summary
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
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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