A FIELD GUIDE TO JEV / VOL. 01
Il meglio di Jev: progetti reali, guide pratiche e idee da tutto il web.
TypeSafe AI@typesafeaiOFFICIALTypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
x.comAnswers your code can useVedi progetto ↗TypeSafe AI@typesafeaiOFFICIALTypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyoneVedi progetto ↗TypeSafe AI@typesafeaiOFFICIALTypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
Four official signals. A fresh starting point on each visit.
114 risorse
AI-assisted summaries and translations. Check original sources for context and performance claims.
Semantic test matchers for Vitest and Jest, powered by TypeSafe's Jev model. Write expectations in plain English, get calibrated probabilities back.
github.comrealZachi/jevtestVedi progetto ↗Source-linked curation
Jev AI performs quality checks on action labels for physical AI training data at high speed.
Source-linked curation
Can Jev pick the winner of a real headline A/B test? 64.5% across 10,984 Upworthy randomized experiments, 74.7% when the difference was decisive.
github.comGaurav-Gosain/jev-headline-benchVedi progetto ↗Source-linked curation
Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
github.comcodeitlikemiley/system-one-adapter-rustVedi progetto ↗Source-linked curation
Using Jev as an evaluator.
github.comdanielgshea/jev-as-a-judgeVedi progetto ↗Source-linked curation
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
github.comTheoLeeCJ/SemIfVedi progetto ↗Source-linked curation
OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
github.comishantanu/jevmetricsVedi progetto ↗Source-linked curation
Eval of Jev turning free-text player intent into typed server actions: 96% agreement, 317 ms median.
x.comTabletop MMORPG action mapperVedi progetto ↗Source-linked curation
Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
github.comGaurav-Gosain/jev-sec-benchVedi progetto ↗Source-linked curation
Jev vs Gemini 3.8 Flash: labelling 1,000 app reviews, 4.1× faster and 7× cheaper.
github.comgoodrahstar/jev-column-raceVedi progetto ↗Source-linked curation
Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
github.combnsd55/jevmlxVedi progetto ↗Source-linked curation
Release-week technical roundup: API, evals, adapter, and skill.
www.developersdigest.techTypeSafe Jev: the first decision-only model classVedi progetto ↗Source-linked curation
Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.
github.comRINNECODER/jev-behavior-studyVedi progetto ↗Source-linked curation
TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
github.com0xnairb/research_deskVedi progetto ↗Source-linked curation
Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
github.comPistachioAIHQ/jev-synergy-screeningVedi progetto ↗Source-linked curation
Hugging Face Space exploring open-source parallel constrained decoding as an alternative to Jev.
huggingface.coParallel Constrained Decoding (Qwen2.5-1B-RLCD)Vedi progetto ↗Source-linked curation
Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.
github.commahlernim/jev-korean-benchmarkVedi progetto ↗Source-linked curation
Jev-compatible System 开源Jev.
github.comGPT-AGI/OpenJevVedi progetto ↗Source-linked curation
Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities.
github.comcablehead/jev.nuVedi progetto ↗Source-linked curation
Openvons (open-Jev): 有限選択肢に確率で答える判断層 — テキスト / 画像 / 日本語音声コマンド.
github.comgenai-craft/openvonsVedi progetto ↗Source-linked curation
I tortured Jev into being a RISC-V CPU.
github.comi2cjak/RISC-jeVVedi progetto ↗Source-linked curation
Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics.
github.comHexdigest123/typesafe-commentVedi progetto ↗Source-linked curation
A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
github.comadhyaay-karnwal/jev-chatVedi progetto ↗Source-linked curation
A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
github.comgrishahq/decisionbridgeVedi progetto ↗Source-linked curation
One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B.
github.comMapika/deciderVedi progetto ↗Source-linked curation
Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
github.comJoshuaSP/open-jevVedi progetto ↗Source-linked curation
JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
github.comfstandhartinger/jevbenchVedi progetto ↗Source-linked curation
High-throughput synthetic & pretraining dataset sifter powered by TypeSafe AI Jev (api.typesafe.ai). Stream, filter, and score Parquet & JSONL datasets at 1,500+ rows/sec using System One typed decisions (Choice, Score, Noul).
github.comAkashPriyadarshii/jev-curateVedi progetto ↗Source-linked curation
Experiments with openjev, an open Jev-style option-logit runner, on local models.
github.comzefir1990/openjev-experimentsVedi progetto ↗Source-linked curation
Curated catalog of System One / Decision Models — contributions for modelsystem.one.
github.comfabricioctelles/modelsystemVedi progetto ↗Source-linked curation
fatwang2A free open-source search tool powered by Jev and a search API for plain language queries.
x.comJev SearchVedi progetto ↗Source-linked curation
A stronger one-pass scorer over a variable list of text options: hashed n-gram encoder, rival-aware attention, gated head, temperature scaling, benchmarked against jevlike.
github.comolanotolu/jevbetterVedi progetto ↗Source-linked curation
Jev 1.13 reward-model evaluation across 8 benchmark tracks, with an interactive report and 54-row SOTA comparison.
github.comgoya4140/jev-reward-model-evaluationVedi progetto ↗Source-linked curation
This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
github.comiammrduncan/typesafe-ai-benchmarkVedi progetto ↗Source-linked curation
Benchmark di decisioni strutturate da PadFlow (SaaS per lo sviluppo immobiliare): schemi, righe anonimizzate con etichette e un runner per modelli calibrati nella fiducia come Jev di TypeSafe.
github.comzsavage8/padflow-jev-evalsVedi progetto ↗Source-linked curation
@ai-sdk/typesafe-ai plus experimental_evaluate; use jev-latest as an evaluation model.
ai-sdk.devVercel AI SDK providerVedi progetto ↗Source-linked curation
Dev.to walkthrough of the Vercel AI SDK evaluate integration.
dev.toHe says he co-invented ChatGPT. His new AI will not write a wordVedi progetto ↗Source-linked curation
Find, design, and evaluate TypeSafe Jev decision loops.
github.comkaranb192/jev-architectVedi progetto ↗Source-linked curation
Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark.
github.comanisselbd/jev-phishing-benchVedi progetto ↗Source-linked curation
Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.
github.comchenmingtang830/jevarenaVedi progetto ↗Source-linked curation
A reproduction of Jev that turns any Qwen model into a fast decision model, serving the same /v1/systemone schema (Choice, Score, Noul) with no training and no generated answer text.
github.comzhengxuyu/litjevVedi progetto ↗Source-linked curation
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
github.comAbdelStark/jev-benchmarksVedi progetto ↗Source-linked curation
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