Jev turns agent decisions into typed outputs instead of LLM text
A demo shows routing relevance, worker choice, retries, and tool-call safety to Jev as pick, score, or yes/no probability outputs instead of asking an LLM.
STOP USING AN LLM TO MAKE EVERY DECISION. That’s the hidden tax inside most AI agents. “Is this relevant?” “Which worker should act?” “Should I retry?” “Is this tool call safe?” None of these require another paragraph of AI-generated text. Jev turns those decisions into typed outputs: pick, score, or yes/no probability. LLM generates. Jev decides. Code executes. The interesting part isn’t that Jev is cheaper. It’s that you can finally separate thinking from deciding inside an agent. The next generation of agents may not need more intelligence. They may just need to stop wasting expensive intelligence on questions that were never asking for text.
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