Treating Jev as an explicit decision layer for agents
The author breaks down Jev's engineering use: Choice, Score and Noul make each state's branches explicit while execution stays outside the model, claimed to be 193x faster and 444x cheaper.
Jev doesn’t make the LLM smarter. it makes 193x faster. 444x cheaperand testable Jev could be the missing decision layer between LLM reasoning and real-world agent execution. without a decision layer, you usually solve that with: more prompting → more context → more retries → more tokens Jev makes the fork explicit. for every state: Choice → which route wins? Score → how good is each option? Noul → how likely is the condition true? then execution stays outside the model. full Jev Engineering breakdown below ↓
This post quotes another post: “Jev could become the control layer AI agents have been missing”