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as anyone tried experimenting with Jev as a “cognitive layer” for AI agents: fast probabilistic checks for RAG relevance, tool routing, verification and confidence, while the frontier LLM handles

Evaluationby omhome_162026-09-16
as anyone tried experimenting with Jev as a “cognitive layer” for AI agents: fast probabilistic checks for RAG relevance, tool routing, verification and confidence, while the frontier LLM handles only deep reasoning. The goal: fewer LLM calls, lower latency, and agents that can continuously evaluate themselves.?, i wating to get off waitlist
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Return probabilities, not labels — 80/10/10 beats "orange"I’m building Aurapunk, an open-source multi-agent IDE.Tested jev against deepseek v4.1 flash on norwegian text.