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Jev AI Classifier

Darryl Ruggles@RDarrylR

81 views on X · does not affect score

Jev is an AI model that functions as a classifier, capable of answering choice, score, and yes/no questions with calibrated confidence in a single parallel pass.

TakeJev (from TypeSafe AI) lets you define Choice, Score and yes/no questions, and it answers them all in one parallel pass with a calibrated confidence.

Pattern✦ AI for software decisions

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