Neuron AI Adds Classifier Component Using TypeSafe AI's Jev for PHP Agent Routing

TypeSafe AI released Jev on September 15, a model designed not to generate text but to classify inputs by returning probabilities across predefined answer sets in a single pass. Unlike generative models, Jev accepts a state and a list of questions with fixed answers, making it suitable for fast, low-cost decision-making within AI agents. A PHP developer integrated Jev into the Neuron AI framework as a new Classifier component, enabling agents to route conversations by difficulty, enforce policy checks, or decide tool-call safety on every turn. TypeSafe AI reports Jev responds in 70 to 500 milliseconds and is priced at $0.042 per million input tokens with no output charges, addressing the latency and cost problems of using full generative models as judges. The component is currently in early access, with TypeSafeAI serving as the first concrete implementation of the Neuron AI Classifier interface.