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A graph-grounded, multi-agent copilot that turns automotive supply-chain disruptions into explainable, policy-checked response plans before action is taken.
Optimized NumPy decision model trained on Monte Carlo simulations.
Autoresearch setup exploring new prompts and attempting to optimize turn lengths
Highly optimized ensemble CNN trained on partially synthetic data.
