ARC-Neuron LLMBuilder: Building a Local-First AI Model Growth and Evaluation Runtime I’m building ARC-Neuron LLMBuilder , a local-first AI model lifecycle framework focused on small-model improvement, benchmark receipts, dataset-connected training paths, and governed candidate promotion. The goal is not just to wrap an existing model. The goal is to build a repeatable system where model candidates, datasets, evaluations, receipts, promotion decisions, and archive lineage can all be tracked in a way that is inspectable and reproducible. What ARC-Neuron LLMBuilder is ARC-Neuron LLMBuilder is designed as a local-first framework for building and improving AI models through a governed lifecycle.…