/ 01

The Core Difference

Jev receives state plus typed questions and returns structured decisions. An LLM primarily generates text. That difference changes how applications validate, parse and act on the output.

/ 02

Side-by-Side

NeedUse Jev when…Use an LLM when…
OutputA named option, ordered score or yes/no probabilityYou need prose, code or open-ended content
ControlYour code defines valid options and thresholdsThe answer space cannot be fully bounded
UncertaintyYou can use probabilities and Choice/Score confidenceYou will evaluate quality by another method

/ 03

Compose Both

Use Jev to route or verify an LLM workflow, and use an LLM when the workflow truly needs generation. Keep arithmetic and invariant checks in code. Explore Noul, JSON output and the Jev playground.

/ FAQ

Frequently asked questions

Is Jev a replacement for an LLM?

No. They fit different output needs; Jev does not generate prose.

Can Jev return free-form text?

No. Its documented answer types are Choice, Score and Noul.