Jev's role: no generation, just structured decisions with probabilities
The author describes Jev as taking context and a specific question and returning a structured decision with a probability, suited to model routing, agent workflows, tool safety and RAG, letting code run the workflow while a small model makes the judgment.
Most AI models are built to generate. But Jev is trying something different: Don’t generate. Decide. Give it some context and a specific question, and it returns a structured decision with a probability. I found this interesting for things like model routing, agent workflows, tool safety and RAG. The idea is simple --Instead of calling a big LLM for every small decision, let your code handle the workflow and use a smaller model where human-like judgment is actually needed. Honestly, this feels like an interesting direction for AI systems.