Jev ecosystem projects — page 43

Fast CVSS scoring from vulnerability descriptions using Typesafe Jev

Rubric-based eval harness cheap enough to run on every PR, powered by typesafe-ai/jev

I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT.

PHP SDK for TypeSafe's Jev: send text and typed questions, get typed answers with calibrated confidence. PHP 8.1+, works with any PSR-18 client, Laravel 8–13.

A UiPath coded agent with a custom PII detection guardrail on the LLM boundary, built on the TypeSafe Jev model as a LangChain awrap_model_call middleware.

Interactive playground for testing Jev model-routing decisions against OpenRouter models

Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring

TypeSafe'in Jev karar modeli gerçek bir online 2048 sitesinde oynuyor — hamle başına tek API çağrısı, tek anahtar.

JEV AI Model Demo with FSD

A tiny virtual pet cared for by TypeSafe Jev through OpenRouter

JevArena — two Jev agents duel in click-only browser games (Browser Use + TypeSafe Jev)

Claude Code plugin that scores how well you prompt a coding agent, and shows whether your habits are improving. Runs on TypeSafe's Jev model. Zero added latency.

Filter command output for coding agents using a task description.

Jevによるnote記事のAI Slop判定サイト

Train lightweight language backbones for typed decisions and candidate probabilities. CE/Brier training, evaluation, and an offline end-to-end demo.

n8n community node for TypeSafe Jev structured AI decisions

Jev as a message gate to determine if agents should respond

Fast and cheap agent evals. jev as judge.

Fast JEV compaction extension for pi

Reversible context pruning for Pi, powered by TypeSafe Jev. Keep useful context without deleting session history.

Agente de trading para o mercado BTC Up/Down de 5 minutos da Polymarket: modelo em código, Jev (TypeSafe System One) como portão, ordens maker, calibração e shadows em paper

A nutrition label for privacy policies. Plain-language answers, confidence scores, and source excerpts powered by Jev.

Semantic linter for AI coding agents and CI code review. Detects silent failures, weakened tests, scope creep, unnecessary abstractions, and other semantic code smells.