CHOOSEAgents & automation
Awesome JEV Guide
Zyvex@Zyvex_0x
0:31This project provides a guide to JEV, a System One model that takes a current state and a typed question to return choices with scores and probabilities, enabling agents to pick from a typed set instead of describing screens to a language model.
TakeYou hand it the current state and a typed question, it returns the choices with scores and probabilities, and your code reads them directly.
Pattern↑ Typed decisions for agent routing and selection
Computer use agents pay an LLM for every click.
npx skills add AppitStudio/awesome-jev --skill awesome-jev-guide
Jev is a System One model. You hand it the current state and a typed question, it returns the choices with scores and probabilities, and your code reads them directly.
No prompt. No completion. No model call on every decision.
That is the whole shift. The agent stops describing a screen to a language model and starts picking from a typed set.
What is inside:
→ runnable offline examples, no account and no API key
→ computer and browser use projects
→ routing and classification patterns
→ extraction and structured output recipes
56 stars. Content under CC0, code under its own license.
