DETECTAgents & automation

Jev LLM Judge Performance

dreadnode@dreadnode

2.8K views · 29 likes · 2 replies · 9 reposts on X · does not affect score

Jev is a competitive LLM judge that identifies agent scope violations efficiently and cost-effectively.

Pattern✦ Agent trace evaluation with typed judges

Related builds

Vectorless RAG with Jev

This project introduces a novel approach to Retrieval Augmented Generation (RAG) that replaces traditional embedding methods with a structured, table-of-contents-based navigation system, significantly improving speed and reducing costs by offloading non-generative tasks to Jev.

Oludele Halleluyah@hallelx2

155 views on XJev score 82

Play video

Agent Decision Layer

This project implements a decision layer that sits before expensive agent actions, determining whether to act, escalate, or involve a human based on confidence scores.

yankis@yankis0x

452 views on XJev score 79

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

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