CHOOSEAgents & automation

Jev Decision Engine

Venus Kalra@venuskalra

5 views on X · does not affect score

Jev acts as an intermediary for AI agents, making a small decision before each action to either execute directly, use a stronger model, ask the user, or block, providing only the decision and confidence level.

TakeTried putting Jev by @typesafeai in front of AI agent Before every action, it makes 1 tiny decision: execute directly use a stronger model ask the user block No long essay.

Pattern↑ State to typed decisions for software

Related builds

Jev Decision Model

Jev is a typed decision model that returns a probability for a given state (question, answer, evidence) instead of generating prose or structured data, making it faster and cheaper than traditional AI judges.

Jose Luis Latorre | #MVP | #K6 | @DotNetZurich@joslat

40 views on XJev score 79

Jev Model Asymmetry Analysis

This project analyzes the Jev model's behavior, revealing that natural language wording induces a significant conviction asymmetry between buy and sell sides, while the model itself is symmetric when presented with symmetric prompts.

Dan Holzrichter@dholzric

83 views on XJev score 79

TypeSafe Computer Use

This project enables a Mac to achieve plain-English goals by combining OCR and the Accessibility tree to drive actions, avoiding large model loops for screenshots.

Yash Chaudhary@YashChaudhary

4 views on XJev score 78

Jev Decision Model Evaluation

Jev, a decision model from TypeSafe, was tested on standard AI problems, answering structured questions with probabilities and performing comparably to or better than other models on single-step tasks, but struggled with sequential reasoning without state information.

Nikhil Deshpande@nikhdesh

94 views on XJev score 76