The Jev launch post
Diogo 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.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
The best of Jev. Real projects, practical guides and ideas from across the internet.
Diogo 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.
TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
TypeSafe 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.
Start with the Launch Post. Explore four official signals.
114 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Jev AI performs quality checks on action labels for physical AI training data at high speed.
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Utilizes Jev as a decision engine to manage and coordinate multiple bot agents for complex tasks.
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A research project enabling SQL queries with real type responses.
JEVLAB ARTSource-linked curation
A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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A YouTube guide discussing Jev's functionality, pricing, and performance comparisons with Astra, including benchmarking and parallel decision analysis.

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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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A PostgreSQL extension enabling natural language queries across databases.
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Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。
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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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A collection of research papers and open reproductions supporting System One models.
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Catch breaking API behavior hidden in OpenAPI prose with deterministic checks and TypeSafe JEV System One semantic review.
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End-to-end Jev-style structured-decision stack for auditable data construction, Qwen3.5-0.8B training, fixed Mind2Web and OOD evaluation, preliminary RLCD, local serving, and interactive replay.
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Dev.to walkthrough of the Vercel AI SDK evaluate integration.
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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A research project on GitHub conducting nine experiments and 28 predictions with fixed parameters, focusing on Jev's performance metrics.
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A real-time tool to analyze and categorize tweets for viral potential.
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Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B.
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Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
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The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
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Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
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Jev integrates into a recommendation engine, providing 70+ personalized suggestions per user at 0.0019$ per user.
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Jev versus a hand-built regex on 544 public data-protection resolutions: 98.2% agreement for about five cents.
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A research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
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I tortured Jev into being a RISC-V CPU.
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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).
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TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
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A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
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Open, Jev-compatible System One decision server on DiffusionGemma.
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Interactive explorer and Jev question workspace for Jev Board datasets.
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Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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Jev-compatible System 开源Jev.
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CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out.
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Typed-decision benchmark from PadFlow (land development SaaS): schemas, anonymized labeled rows, and a runner for confidence-calibrated models like TypeSafe Jev.
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AI benchmark on Japan's 2026 Common Test: Jev vs luna-none vs luna-low (static dashboard).
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An open-source project aiming to develop a Jev-class decision model for research purposes.
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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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Tool for systematic reviewers to extract information from research articles efficiently.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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Semantic test matchers for Vitest and Jest, powered by TypeSafe's Jev model. Write expectations in plain English, get calibrated probabilities back.
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Hugging Face Space exploring open-source parallel constrained decoding as an alternative to Jev.
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Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.
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Sort by meaning: order lines along a plain-English dimension, from pairwise comparisons judged by TypeSafe's Jev model.
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Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE).
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看看 Jev 能做什么:用中英文讲清热门应用、工作原理和各自优缺点。Explore Jev apps with plain-language examples, explanations, and comparisons.
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Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.
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Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal).
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One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B.
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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.
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Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
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Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
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Release-week technical roundup: API, evals, adapter, and skill.
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Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.
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Replicating Jev with a local LLM.
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A community project using Jev to customize Hacker News content preferences.
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Experiments with openjev, an open Jev-style option-logit runner, on local models.
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发明 RLHF 的人,这次做了个不会说话的模型:Jev 独立研究报告。52 页 PDF + 50 条中文实测复现包 + 143 条可回溯数据表.
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Jev monitors 25 WhatsApp customer groups in real time, alerting an LLM only when urgent issues arise.
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Jev enables fast search of physical library indexes.
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An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
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A word-level language model whose output layer is Jev: n-gram drafter, Noul chunk verification, bits-per-token eval.
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Curated catalog of System One / Decision Models — contributions for modelsystem.one.
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A research project featuring an English–Icelandic dictionary that uses Jev to rerank results for better accuracy.
JEVLAB ARTSource-linked curation
OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
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Eval of Jev turning free-text player intent into typed server actions: 96% agreement, 317 ms median.
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Jev (TypeSafe) vs. Gemini 3.8 Flash vs. GPT-5.6 Luna na anotação estruturada de sentenças do TJSP: qualidade, tempo e custo.
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TypeSafe AI System One (Jev) task plugin for QuantumNous/new-api — native /v1/systemone, synchronous evaluation, token billing.
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See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
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Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code.
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