Jev is a decision-only AI model that outputs structured classifications (yes/no, category picks, numeric scores) rather than text, built using RLCD by TypeSafe AI. Testing across 12 use cases showed it is 20–200x faster and 40–400x cheaper than standard LLMs for classification tasks, with optimal results in a two-model pipeline where Jev triages high-volume data before routing to GPT or Claude for reasoning.