JEV COMPARISON
Jev vs. LLMs.
Use Jev for bounded decisions; use a generative LLM when the output itself must be language, code or an open-ended plan.
JEV
✓ Typed choices, scores and probabilities
✓ Parallel answers to predefined questions
✓ Good fit for high-volume routing and verification
GENERATIVE LLM
✓ Free-form text and code
✓ Sequential token generation
✓ Good fit for writing, explanation and open-ended reasoning
Bottom line
They are complementary. A generative model can plan or write, while Jev handles narrow decisions inside the workflow.
QUICK DECISION
Choose by the output you need
- Need prose, code or an open-ended plan? Use a generative model.
- Need nearest-neighbour similarity at very high volume? Use embeddings.
- Need a bounded judgment over known options? Test Jev.
- Need a guaranteed policy or permission rule? Use deterministic code.