91.9%. 89.6%. 78.0%. Those were the primary-class accuracies of a typed-decision API, a 35B mixture-of-experts LLM, and a 421M open-weight decision model on the same real classification job. But accuracy was not the result that changed the deployment decision. The decisive question was: Can the model tell us when its answer is safe enough to automate—and when a human needs to look? To find out, I compared Jev , Qwen3.5-35B-A3B , and Laya 421M on 12,000 U.S. federal IT sol...