CHOOSEBusiness workflows

Jev: Structured Decisions for Production Software

Yaba@yabarich

4.5K views on X · does not affect score

Jev is an independent index that simplifies decision-making processes in production software by returning typed decisions instead of generated text, enabling faster and more predictable integration for tasks like ticket routing, moderation, and risk scoring.

TakeJev evaluates Choice, Score, and Noul questions in parallel, responds in approximately 70–500 milliseconds, and costs $0.042 per million input tokens with free output.

Pattern✦ Decision layer primitives

Related builds

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

113 views on XJev score 76

PostgreSQL Extension for TypeSafe AI Jev Integration

This project is a PostgreSQL extension that allows SQL queries to directly call TypeSafe AI's Jev for classifying rows within a database table, avoiding the need to export data for external processing.

giulio@giuliosmall

4.4K views on XJev score 76