Before you dive in
What you’ll find in the original
- Define permitted outcomes such as risk level and manual review before inference; Jev returns probabilities for those decisions.
- Constrained output prevents invented labels but does not guarantee correctness—a high-probability answer can still be wrong.
- Use Jev as the routing layer, generative models for deeper reasoning or generation, and ordinary code for deterministic execution.
Worth knowing
This is an architectural explainer, not an evaluation; examples and probabilities are illustrative, and the author calls the technology early.