A Rust implementation runs Google's Gemma 3 4B model as a typed decision function, achieving 47 ms per decision (21.2 decisions/sec) on Apple M1 Pro. Instead of token generation and parsing, the system directly extracts logits for legal labels and applies softmax to produce typed answers, with benchmarks showing 58.9% accuracy on JevBench's 231 public decisions.