Kev: Train Your Own Decision Models on Qwen3.5 — A Practical Framework for Small Typed Decisions 2026
Introduction Jared Palmer is known for React ecosystem tools—Next.js, Formik, React Training. His latest project, Kev, represents a different kind of contribution: a framework for training small decision models that output structured labels instead of text. The premise is deceptively simple: take a Qwen3.5 model, add a classification head, train it with reinforcement learning, and you get a model that makes typed decisions in under 100 lines of code. But the implications are significant. For the first time, developers can train their own decision models—models that classify, score, and categorize without hallucinating free-form text. The cost is minimal: training runs on a single GPU for hours, not weeks. The inference cost is near-zero: these models run at tens of milliseconds on CPU. ...