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- Alternative
ModernBERT
Modernized BERT encoder used as the backbone for fast fine-tuned classifiers and rerankers. The non-generative baseline Jev's cost and latency claims are usually measured against. Star count is GitHub's rounded display figure.
- Project
blink
Codebase search that finds files matching a natural-language request through repeated Jev-guided passes over a directory tree.
- Tool
AkashPriyadarshii/jev-curate
Rust and Python dataset sifter that streams Parquet and JSONL rows past Jev typed decisions at 1,500+ records per second, writing passed and rejected rows to disk. Uses speculative fan-out and calibrated post-training rubrics.
- Tool
hamakyo/jev-starter
A TypeScript toolkit of production patterns around the Jev SDK: decision contracts, confidence-threshold routing with fallback and review paths, an offline evaluation harness, and a RAG diagnosis showcase.
- Project
jev-rerank
Uses Jev as a calibrated reranker: one relevance question per document, up to 30 documents per call, returning a probability usable both as a ranking score and an absolute threshold. Apache-2.0; benchmarked on SciFact, NFCorpus and FiQA. The repo now redirects to hev/reranker.
- Article
How to Use Jev: A practical guide to TypeSafe's System One model
Practical guide covering setup, the three primitives (Choice up to 255 options, Score across 2-10 levels, Noul as a yes/no probability), and five patterns: speculative fan-out, confidence-gated routing, composite scoring, cascading to a larger model, and retrieval before judgment.
Prosper Otemuyiwa (Valyu AI)OpenHow to Use Jev: A practical guide to TypeSafe's System One model on dev.to