Review queue
These repositories fell between the gates: Jev was confident enough not to drop them, but not confident enough to list them. Two things hold a repository here — genuine below the listed gate, or substance below the floor that separates a real project from an empty scaffold. An unclear category does not: that is marked on the entry and listed anyway. The policy leaves the rest here rather than guessing, and a human reading one repository for thirty seconds usually settles it.
If you can tell which way a row should go — or if you spot a wrong call anywhere in the index — open an issue with the Jev got it wrong template. Corrections become overrides in the data, and overrides feed the calibration set.
728 of 13626 judged repositories are awaiting review.
No description provided.
genuine0.97cat0.98subst0.21LearningJavaheld because: substance 0.21 below 0.5
Jevals (jevals.com): independent benchmark of TypeSafe's Jev vs LLMs
genuine0.81cat1.00subst0.25Research and Evalsheld because: substance 0.25 below 0.5
An asyncio daemon that tails journald or syslog and asks Jev, for each event, which subsystem it belongs to, how severe it is, and whether it's noise. Plain code then ignores the event, alerts on it, or escalates it to a human when confidence is low.
genuine0.80cat0.99subst0.37Applicationsheld because: substance 0.37 below 0.5
Jev decides, the LLM talks. Three of five routes never touch an LLM, so cost and latency drop, and the routing policy lives in reviewable code rather than inside a prompt.
genuine0.77cat0.96subst0.49Applicationsheld because: substance 0.49 below 0.5
Benchmarking System One models against LLMs for typed decisions in Python. Jev vs. LLM on routing, urgency triage and content selection, with reproducible evals.
genuine0.75cat1.00subst0.15Research and Evalsheld because: substance 0.15 below 0.5
No description provided.
genuine0.74cat0.98subst0.17Research and Evalsheld because: substance 0.17 below 0.5
Hybrid browser-test authoring: fast System-One classifier + LLM escalation, compiling trajectories into deterministic Playwright replay
genuine0.73cat0.43subst0.26Agent and Dev Tooling?held because: substance 0.26 below 0.5
No description provided.
genuine0.73cat0.71subst0.43Games and Simulationheld because: substance 0.43 below 0.5
unique and mordern benchmark for faster ai decision
genuine0.73cat1.00subst0.42Research and EvalsTypeScriptheld because: substance 0.42 below 0.5
JEV plays Space Invaders in real time vs a Claude baseline (UFA JEV Bake-Off, pilot track)
genuine0.72cat0.83subst0.02Games and Simulationheld because: substance 0.02 below 0.5
Jev System One vs LLM cost/latency estimates for AdCP buyer and seller agent decisions (verified 2026-09-20)
genuine0.71cat1.00subst0.48Research and Evalsheld because: substance 0.48 below 0.5
Thin clojure wrapper for Jev, TypeSafe AI's classification model
genuine0.71cat1.00subst0.35SDKs and ClientsClojureheld because: substance 0.35 below 0.5
Unofficial developer notes & examples for Jev, TypeSafe AI's System One model. Try it free: jevtypesafeai.com
genuine0.71cat1.00subst0.21Learningheld because: substance 0.21 below 0.5
本地 Jev：Qwen3.5-4B + SemIf 的语义判断服务、可视化控制台与 DMG 桌面应用（Jev-compatible local System One API）
genuine0.71cat0.81subst0.01Research and Evalsheld because: substance 0.01 below 0.5
writing a version of jev by hand
genuine0.71cat0.99subst0.00Research and Evalsheld because: substance 0.00 below 0.5
Try out Jev, compare with existing decision making models using json schema. Also try to build my own engine to reach same level of inference speed as jev
genuine0.71cat1.00subst0.00Research and Evalsheld because: substance 0.00 below 0.5
HTTPs Java Jev API client
genuine0.70cat1.00subst0.29SDKs and ClientsJavaheld because: substance 0.29 below 0.5
No description provided.
genuine0.69cat0.99subst0.05Agent and Dev Toolingheld because: substance 0.05 below 0.5
A npc behavior simulated via jev (tev0.8b)
genuine0.69cat0.98subst0.08Games and SimulationPythonheld because: substance 0.08 below 0.5
Terminal ASCII RPG where every NPC thinks with Jev (TypeSafe AI System One) — design draft
genuine0.68cat0.98subst0.44Games and Simulationheld because: substance 0.44 below 0.5
Implementing the jev model in the rag architecture as the evaluator
genuine0.68cat0.52subst0.29Research and EvalsPythonheld because: substance 0.29 below 0.5
Independent Jev / System One reference with API examples, implementation guidance and reusable prompts for engineers and coding assistants.
genuine0.67cat1.00subst0.47Learningheld because: substance 0.47 below 0.5
Open-source Jev-compatible MCP server for typed decisions (Choice/Score/Noul): local GLiNER backend with a model router, drop-in swappable with the TypeSafe System One API.
genuine0.67cat0.96subst0.25Research and Evalsheld because: substance 0.25 below 0.5
Use Jev model to evaluate the PRs and access risk. if it's risky then let LLM to validate
genuine0.67cat0.96subst0.26Agent and Dev ToolingPythonheld because: substance 0.26 below 0.5
Prototyping against TypeSafe's Jev System One API: a one-ticket quickstart and a Bluesky Jetstream firehose demo.
genuine0.66cat0.98subst0.43Learningheld because: substance 0.43 below 0.5
The typed social network. Agents post. Jev decides.
genuine0.65cat0.94subst0.47Applicationsheld because: substance 0.47 below 0.5
Decision-guided inverse folding pipeline combining Jev fast evaluation models with ProteinMPNN/LigandMPNN for filtered and automated protein design
genuine0.64cat0.61subst0.31ApplicationsPythonheld because: substance 0.31 below 0.5
A harness for System One models/Jev to play openfront.io
genuine0.64cat0.98subst0.00Games and Simulationheld because: substance 0.00 below 0.5
Laboratório prático e progressivo para aprender Jev (TypeSafe System One) — não é produção.
genuine0.63cat1.00subst0.07Learningheld because: substance 0.07 below 0.5
No description provided.
genuine0.63cat0.94subst0.49LearningTypeScriptheld because: substance 0.49 below 0.5
Using the Jev model to compact agent tool logs. Supports integration with the Claude Agent SDK, the OpenAI Agent SDK, and more.
genuine0.62cat0.64subst0.00Agent and Dev Toolingheld because: substance 0.00 below 0.5
Xano template: Jev agent tool-call guardrail. Jev decides, Xano enforces.
genuine0.62cat0.71subst0.08Agent and Dev ToolingXSheld because: substance 0.08 below 0.5
Generic multi-agent orchestration template with JEV (TypeSafe System One) as L0 decision layer
genuine0.61cat1.00subst0.38Agent and Dev ToolingMakefileheld because: substance 0.38 below 0.5
E-commerce review classification with TypeSafe's Jev: Google Sheets → typed decisions (topic, sentiment, defect/refund flags) with calibrated confidence → BI dashboard. Includes accuracy, calibration and cost benchmarks vs. an LLM.
genuine0.61cat0.50subst0.41Research and Evalsheld because: substance 0.41 below 0.5
Herdr extension making Jev the decision layer for child-agent dispatch across Claude Code and Codex
genuine0.61cat0.92subst0.00Agent and Dev Toolingheld because: substance 0.00 below 0.5
Using Jev to test how well it predicts financial markets(just like most llms as of september 2026, it doesnt do that good)
genuine0.61cat0.93subst0.04Research and EvalsPythonheld because: substance 0.04 below 0.5
Running some tests with TypesafeAI's System One model
genuine0.61cat0.92subst0.13Research and EvalsPythonheld because: substance 0.13 below 0.5
Jev-powered submission triage - one modular engine (bug/feature/complaint/question classification + intent routing), built for comfyui-video-ui, reusable in tierllama and all CommonWeave projects
genuine0.60cat0.45subst0.24Applications?held because: substance 0.24 below 0.5
jev-ableton-operator
genuine0.60cat0.59subst0.27Agent and Dev Toolingheld because: substance 0.27 below 0.5
No description provided.
genuine0.60cat0.84subst0.36Games and Simulationheld because: substance 0.36 below 0.5
Jev 工作台：填上 Key 就能用 · 判断、打分、筛选、玩游戏（单文件网页版）
genuine0.60cat0.65subst0.21Learningheld because: substance 0.21 below 0.5
Jev Model evaluation for multi agent routing
genuine0.60cat0.89subst0.10Research and EvalsPythonheld because: substance 0.10 below 0.5
Script for typed-decision model.
genuine0.60cat0.28subst0.29SDKs and Clients?Pythonheld because: substance 0.29 below 0.5
An opensource implementation of Jev
genuine0.60cat0.99subst0.00Research and Evalsheld because: substance 0.00 below 0.5
Jev MCP setup — Ormus Jev suite. Gold Hat.
genuine0.59cat0.98subst0.34Agent and Dev Toolingheld because: substance 0.34 below 0.5
Self-hosted Google Apps Script that uses TypeSafe AI's Jev model to apply safe, customizable Gmail labels.
genuine0.58cat0.91subst0.00Applicationsheld because: substance 0.00 below 0.5
Basic triage for security issues using SSVC and Jev
genuine0.57cat0.94subst0.29ApplicationsPythonheld because: substance 0.29 below 0.5
基于其他项目的二开，jev+openai兼容驱动的ocs题库，是4.15.3版本适配
genuine0.57cat0.55subst0.01Integrationsheld because: substance 0.01 below 0.5
A web app where Jev makes decisions and the app acts on them via /alpha/decisions
genuine0.57cat0.99subst0.00Applicationsheld because: substance 0.00 below 0.5
Requirement type and quality analysis with layered rules + Jev (TypeSafe), benchmarked against classical ML, a fine-tuned transformer and Claude.
genuine0.56cat1.00subst0.44Research and EvalsPythonheld because: substance 0.44 below 0.5
Multi-agent robotics simulation: Jev consensus vs Raft/PBFT on a heterogeneous robot fleet
genuine0.56cat0.67subst0.17Games and SimulationPythonheld because: substance 0.17 below 0.5
Simple web interface for distilling jev for creating smaller classification models
genuine0.56cat0.47subst0.15Applications?held because: substance 0.15 below 0.5
Jev demo: rank AI solver transcripts so a costly judge reads only the likely guesses
genuine0.56cat0.64subst0.18ApplicationsHTMLheld because: substance 0.18 below 0.5
JEV Benchmarking in calibrating reasoning and also guard railing as a multi-tassk setup
genuine0.56cat1.00subst0.03Research and EvalsPythonheld because: substance 0.03 below 0.5
Floorplan generation based on rules that use Jev decision models.
genuine0.55cat0.99subst0.16ApplicationsPythonheld because: substance 0.16 below 0.5
JEV MCP server via OpenRouter
genuine0.55cat0.97subst0.00Agent and Dev Toolingheld because: substance 0.00 below 0.5
No description provided.
genuine0.55cat1.00subst0.43LearningTypeScriptheld because: substance 0.43 below 0.5
Build Jev Integrations
genuine0.55cat0.36subst0.11Integrations?TypeScriptheld because: substance 0.11 below 0.5
No description provided.
genuine0.54cat0.99subst0.09Research and Evalsheld because: substance 0.09 below 0.5
A simple frontend to play chess against a System One Decision Model like Jev or Von, or Laya
genuine0.54cat0.90subst0.30Games and SimulationVueheld because: substance 0.30 below 0.5
using free jev via vercel, make holdem game and adapt jev in it
genuine0.54cat0.99subst0.30Games and Simulationheld because: substance 0.30 below 0.5
No description provided.
genuine0.54cat0.38subst0.39Research and Evals?JavaScriptheld because: substance 0.39 below 0.5
让kriaAI可以真正玩一些游戏的插件。可接入jev类模型接收token和增加效率
genuine0.54cat0.47subst0.00Games and Simulation?held because: substance 0.00 below 0.5
A weekend project to test Jev and work out how to design agent harnesses that mix system-one models with large-language models.
genuine0.54cat0.41subst0.00Agent and Dev Tooling?held because: substance 0.00 below 0.5
Jev, honestly - an autoplaying animated explainer: decision models, calibration, and the JevBench race
genuine0.53cat0.74subst0.07LearningHTMLheld because: substance 0.07 below 0.5
JEV 句子质检独立后端预构建包（自带 Python，解压即用）
genuine0.52cat0.56subst0.37Integrationsheld because: substance 0.37 below 0.5
一个自主部署JEV项目跑在 autoDL 中的通用决策节点
genuine0.52cat0.21subst0.00Integrations?held because: substance 0.00 below 0.5
Jev + VLA: structured decisions, failure detection, and recovery for vision-language-action robot policies. Design stage.
genuine0.51cat0.54subst0.35Integrationsheld because: substance 0.35 below 0.5
AI harness for classifying PC application purpose and category with TypeSafe Jev typed decisions and quantitative scoring.
genuine0.51cat0.37subst0.15Applications?JavaScriptheld because: substance 0.15 below 0.5
No description provided.
genuine0.51cat1.00subst0.44Learningheld because: substance 0.44 below 0.5
a free multi-modal jev API for everyone
genuine0.51cat0.27subst0.30Other?held because: substance 0.30 below 0.5
Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels
genuine0.51cat0.50subst0.26Research and Evalsheld because: substance 0.26 below 0.5
Jev-as-merge-adjudicator fafo: selector-not-generator harness
genuine0.51cat0.41subst0.19Agent and Dev Tooling?TypeScriptheld because: substance 0.19 below 0.5
Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
genuine0.51cat0.91subst0.03Applicationsheld because: substance 0.03 below 0.5
Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
genuine0.51cat0.87subst0.00Applicationsheld because: substance 0.00 below 0.5
Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
genuine0.51cat0.90subst0.03Applicationsheld because: substance 0.03 below 0.5
Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
genuine0.51cat0.87subst0.00Applicationsheld because: substance 0.00 below 0.5
No description provided.
genuine0.51cat0.82subst0.28Games and SimulationTypeScriptheld because: substance 0.28 below 0.5
Evaluation code, datasets, and experiment reports for Jev-based classification.
genuine0.51cat0.98subst0.01Research and Evalsheld because: substance 0.01 below 0.5
Host your own "JEV" model using any LLM without training, achieving comparable Nuel, Score, and Choice functionality
genuine0.51cat0.68subst0.00Research and Evalsheld because: substance 0.00 below 0.5
Dungeons and Dragons (D&D) Monster decision maker given certain parameters and fed to Jev
genuine0.51cat0.49subst0.05Applications?held because: substance 0.05 below 0.5
An application for using Jev to pick best moves for the Twilight Struggle game
genuine0.51cat0.75subst0.03Applicationsheld because: substance 0.03 below 0.5
Apply OS — Personal career decision engine powered by TypeSafe AI (Jev). Ranks job postings, drafts applications, and automates the pipeline with typed, calibrated decisions. Agency-ready build spec included.
genuine0.50cat0.93subst0.08Applicationsheld because: substance 0.08 below 0.5
Jev confidence routing — Ormus Jev suite. Gold Hat.
genuine0.50cat0.91subst0.27Agent and Dev Toolingheld because: substance 0.27 below 0.5
Jev (TypeSafe System One) judgments for omp: verbatim context compaction, a tool-result block sieve with recall, and a walker-based file finder
genuine0.50cat0.78subst0.05Agent and Dev ToolingTypeScriptheld because: substance 0.05 below 0.5
Build an inbox autopilot in n8n that sorts Gmail with Jev and only acts when it's confident. NextWork project starter.
genuine0.50cat0.67subst0.37Applicationsheld because: substance 0.37 below 0.5
Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
genuine0.50cat0.89subst0.07ApplicationsKotlinheld because: substance 0.07 below 0.5
No description provided.
genuine0.50cat1.00subst0.23Research and Evalsheld because: substance 0.23 below 0.5
TypeSafe Jev research + 5 product specs
genuine0.50cat0.33subst0.15Other?held because: substance 0.15 below 0.5
Score TypeSafe's Jev (or local s1ced / Vega) on college chapter event proposals: a decision-model benchmark and playground dashboard that answers safety, action, team, risk and budget questions and checks them against your chapter's expected policy.
genuine0.50cat0.69subst0.00Research and Evalsheld because: substance 0.00 below 0.5
A router built with Jev that can help you choose the Claude code model
genuine0.50cat1.00subst0.04Agent and Dev Toolingheld because: substance 0.04 below 0.5
a skill to give an agent access and knowledge to create api requests and get jev decision help
genuine0.50cat0.99subst0.00Agent and Dev Toolingheld because: substance 0.00 below 0.5
JEV Drill: evidence-based model and guidance routing, local analysis, and controlled comparison experiments.
genuine0.50cat0.89subst0.00Research and Evalsheld because: substance 0.00 below 0.5
Reproducible comparative benchmark harness for Agent-Workflow with sealed evidence, finished software, scoring, timing/token capture, and Jev/TypeSafe studies.
genuine0.49cat0.99subst2.91Research and EvalsPythonheld because: genuine 0.49 below 0.5
No description provided.
genuine0.49cat0.65subst2.30Research and EvalsPythonheld because: genuine 0.49 below 0.5
Cost-conditioned intent routing: selected Qwen3 belief model, recovery actor, reproducible benchmarks and inference.
genuine0.49cat0.93subst1.97Research and EvalsPythonheld because: genuine 0.49 below 0.5
Talk to your browser: Claude plans the command, Jev carries it out in your own Chromium profile. A side-panel extension with no chrome.debugger and no remote-debugging port.
genuine0.49cat1.00subst2.00ApplicationsPythonheld because: genuine 0.49 below 0.5
Deduplicate, cluster, link and find contradictions with measurable blocking and a deterministic cascade.
genuine0.49cat0.52subst2.02ApplicationsPythonheld because: genuine 0.49 below 0.5
Find out whether a smaller model could handle some of your AI agent’s routine choices.
genuine0.49cat0.47subst2.00Research and Evals?Pythonheld because: genuine 0.49 below 0.5
Image-native typed decisions with shared visual encoding and Qwen3-VL
genuine0.49cat0.91subst2.08Research and EvalsPythonheld because: genuine 0.49 below 0.5
🚀🚀 A 0.8B JEV-like multimodal model playing GUI games directly from raw pixels.
genuine0.49cat0.87subst1.78Research and EvalsJavaScriptheld because: genuine 0.49 below 0.5
🎮 Play. Learn. Respawn. Turn LAYA & ModernBERT Decoder into tactical AI pilots in Cinder Station, an original Doom-inspired game. Explore RLCD + CE, TypeSafe Jev, interactive lessons & transparent benchmarks. Train locally or in Colab. Fork it. Train it. Play it.
genuine0.49cat0.93subst2.09Games and SimulationJupyter Notebookheld because: genuine 0.49 below 0.5
No description provided.
genuine0.49cat0.92subst2.05ApplicationsPythonheld because: genuine 0.49 below 0.5
Autonomous System 1 Speedcuber Agent powered by TypeSafe Jev & Laya ModernBERT-421M. Real-time 3D spatial state, temporal memory, and calibrated decision probabilities.
genuine0.49cat0.94subst1.94Games and SimulationTypeScriptheld because: genuine 0.49 below 0.5
No description provided.
genuine0.49cat1.00subst2.08Agent and Dev ToolingPythonheld because: genuine 0.49 below 0.5
Cena 3D interativa da arquitetura do modelo Jev (TypeSafe AI, System One Model)
genuine0.49cat0.88subst1.21LearningHTMLheld because: genuine 0.49 below 0.5
Score options in one pass with Gemma 3 4B on MLX or PyTorch, no decoding, for fast, efficient choice ranking.
genuine0.49cat0.62subst1.68Research and EvalsPythonheld because: genuine 0.49 below 0.5
Homebrew tap for Jev Evidence Kit
genuine0.49cat0.62subst1.35Research and EvalsRubyheld because: genuine 0.49 below 0.5
INSTRUCT_JEV - TypeSafe AI Jev / System One instruction corpus (choice/noul/score), compiled by DeckerGUI. 119 rows. Mirrored on HuggingFace.
genuine0.49cat0.49subst1.65Learning?Pythonheld because: genuine 0.49 below 0.5
Pi extension: Jev-gated skill routing (README-first)
genuine0.49cat0.85subst0.13Agent and Dev Toolingheld because: genuine 0.49 below 0.5
An evaluation of typesafe AI chess. As it turns out, the AI isn't doing really well even though chess is not a particularly open-ended game. Still, it's only a prototype and this probably wasn't optimzied for games.
genuine0.49cat0.97subst0.97Research and EvalsPythonheld because: genuine 0.49 below 0.5
Substrate-segmented image description via JEV + LLMs as GAN. No actual image generator needed.
genuine0.49cat0.47subst0.89Applications?Pythonheld because: genuine 0.49 below 0.5
No description provided.
genuine0.49cat0.81subst1.00ApplicationsTypeScriptheld because: genuine 0.49 below 0.5
Code samples for Jev ebook
genuine0.49cat1.00subst1.20LearningHTMLheld because: genuine 0.49 below 0.5
No description provided.
genuine0.49cat0.42subst0.77Learning?Jupyter Notebookheld because: genuine 0.49 below 0.5
Pi agent harness + Jev (TypeSafe System One) 结构化决策模型接入；含 Pi 扩展点审查与门控方案
genuine0.49cat0.88subst0.17Agent and Dev ToolingTypeScriptheld because: genuine 0.49 below 0.5
Should I have a(nother) beer? A tiny second opinion powered by Jev.
genuine0.49cat0.93subst0.02ApplicationsTypeScriptheld because: genuine 0.49 below 0.5
No description provided.
genuine0.49cat0.58subst0.13Games and Simulationheld because: genuine 0.49 below 0.5
DSPy 3.4 starter for Jev/System One decisions and ReAnchor confidence calibration, with one-line Apple Silicon setup.
genuine0.49cat0.90subst0.05Learningheld because: genuine 0.49 below 0.5
Open Jev-style typed-decision model that also takes images: photo + app state + typed questions in, calibrated probabilities out, locally.
genuine0.48cat0.85subst2.84Research and EvalsPythonheld because: genuine 0.48 below 0.5
聊天悬浮窗助手（macOS）：屏幕感知 + 本地小模型判断意图与风险，按话术生成回复候选。纯只读。
genuine0.48cat0.99subst2.91ApplicationsPythonheld because: genuine 0.48 below 0.5
OpenDecision is an open-source semantic decision engine like typesafe's jev.
genuine0.48cat0.60subst2.88Research and EvalsPythonheld because: genuine 0.48 below 0.5
Local Context Compiler (lcc): clean, dedupe and compact prompt context before it reaches the model, then report every block dropped, the cache tokens a pass invalidates and when pruning pays off. Runs offline with a local 1K decision model. MIT, no API key, zero telemetry.
genuine0.48cat0.32subst2.81Agent and Dev Tooling?Pythonheld because: genuine 0.48 below 0.5
No description provided.
genuine0.48cat0.51subst2.38ApplicationsPythonheld because: genuine 0.48 below 0.5
Stock Laya + 32k context kit — Jev-scale state, zero weight changes, Apache-2.0 (unofficial fork)
genuine0.48cat0.34subst1.93Research and Evals?HTMLheld because: genuine 0.48 below 0.5
A squishy jelly desktop friend for X11: pinch, pull, throw, and poke it (C + OpenGL + Dear ImGui)
genuine0.48cat0.95subst2.71ApplicationsCheld because: genuine 0.48 below 0.5
Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
genuine0.48cat0.93subst2.01Research and EvalsPythonheld because: genuine 0.48 below 0.5
本地 clef-flash 判断 + 本地文本模型起草的聊天回复助手：全程离线、零 API key、零账号、零遥测。Apache-2.0（上游 MIT）。
genuine0.48cat1.00subst2.21Research and EvalsPythonheld because: genuine 0.48 below 0.5
Jev-style local decision API: typed schema in, type-safe values + logprob confidence out (llama.cpp / switchable vision / pluggable models)
genuine0.48cat0.53subst1.99Research and EvalsPythonheld because: genuine 0.48 below 0.5
Sub-120ms smart LLM gateway & real-time optics dashboard using TypeSafe Jev System One. Defeats cache thrashing on coding agents (Goose, Cursor, VS Code) with Break-Even Cache Affinity and 0.60 Confidence-Gated Safety.
genuine0.48cat0.96subst1.99Agent and Dev ToolingTypeScriptheld because: genuine 0.48 below 0.5
Retro pixel space shooter steered by SupersonicLabs Julia 1 (144M decision model) through a local /v1/systemone API — Julia-tuned fork of jev-spaceshooter-demo
genuine0.48cat1.00subst1.76Games and Simulationheld because: genuine 0.48 below 0.5
Python NPC decision engine using real local Jev Choice and Score inference on CUDA.
genuine0.48cat0.70subst1.97ApplicationsPythonheld because: genuine 0.48 below 0.5
No description provided.
genuine0.48cat0.42subst2.00Research and EvalsTypeScriptheld because: genuine 0.48 below 0.5
No description provided.
genuine0.48cat0.99subst2.03Agent and Dev ToolingPythonheld because: genuine 0.48 below 0.5
jev-1.13 plays Civilization VI — a decisions-only LLM harness over civ6-mcp, with per-run decision logs and screenshot timelines
genuine0.48cat0.60subst2.29Games and SimulationPythonheld because: genuine 0.48 below 0.5
High-speed SEO analysis and autonomous internal linking suite powered by TypeSafe Jev (System 1) and Auxiliary Frontier AI (System 2).
genuine0.48cat0.99subst2.00ApplicationsPythonheld because: genuine 0.48 below 0.5
No description provided.
genuine0.48cat0.53subst1.90Research and EvalsPythonheld because: genuine 0.48 below 0.5
No description provided.
genuine0.48cat0.71subst1.95Agent and Dev ToolingHTMLheld because: genuine 0.48 below 0.5
No description provided.
genuine0.48cat0.98subst1.85Research and EvalsPythonheld because: genuine 0.48 below 0.5
Create and manage TypeSafe Jev API keys from your terminal.
genuine0.48cat1.00subst2.00SDKs and ClientsPythonheld because: genuine 0.48 below 0.5
Hermes UI & Jev Engine: Complete Suite (One-click installer for Feishu/WeChat UI beauty, fullwidth progress board, and Jev intelligent preflight routing)
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Runnable examples for the gatellm AI gateway: OpenAI, Anthropic, Gemini, DeepSeek, Qwen, GLM, Kimi, Grok and Jev (TypeSafe System One) — chat, streaming, embeddings, rerank, images, audio, realtime and typed decisions in Python and TypeScript
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No description provided.
genuine0.48cat1.00subst1.07Learningheld because: genuine 0.48 below 0.5
No description provided.
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8 copy-paste Jev prompts for marketers + 2 free tools
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Welke arXiv-papers helpen een HR-/People-lead bij AI-gebruik in de organisatie? Geclassificeerd met Jev (TypeSafe).
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Free worksheet for choosing between deterministic code, bounded semantic decisions, and generative models
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JEV 202 案例分类精选 + 课堂面板：向明 JEV 案例库的开源整理版（13 类 60 精选带点评，暗调面板）
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No description provided.
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Independent overview slides of edamame-labs/tab-jev (not a fork; all project credit upstream)
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Code for Medium blog posts
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agentgateway LLM Guardrails :: JEV security guardrails :: KServe :: Killercoda.
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Trading project using JEV by TypeSafe AI
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Pre-LLM catalog gate: TypeSafe/Jev scores tools & skills; keep only high-probability items
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TypeSafe AI の Jev を Ruby で試した実践例（感情分析・CloudTrailのリスク評価・フォームのリアルタイム検証）
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Autonomous Tetris Player powered by TypeSafe JEV System 1 AI
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No description provided.
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Demo how Jev can prevent malicious chat injections
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[YouTube][Bappy Ahmed] I Built an AI Project with Jev — The New System 1 Model by TypeSafe AI [ENG, 2026]
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Semantic chunker using Jev, instead of relying on embedding data
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Synthetic test pages for a visual QA benchmark (noindex)
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A JEV-powered incident-response agent with confidence-based escalation.
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Experiments and Projects with Laya(JEV)
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消灯後の大作戦 — 修学旅行の夜、Jevの判断と一緒に友達の部屋を目指すブラウザゲーム
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Fluent pipeline library for processing Playwright traces into polished demo videos with TTS voiceover, subtitles, speed control, and zoom.
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Local classification, routing, and scoring for AI agents, with option probabilities. Text + images, Python, MCP and agent skills.
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装在手机上的对话副驾：在微信 / QQ / X / 飞书里读懂对方、给出候选回复、一键填入输入框，发不发由你。非侵入，只读屏幕，不 hook 不改包。
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⚡ Foq — the FREE, local, open-source alternative to Jev. Typed System 1 decisions in ~25 ms — no waitlist, no cloud, no per-token cost. foq.fr
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Local structured decisions with Apple Foundation Models: classification, tool selection, and conservative PII review. Experimental; categorical outputs, not calibrated probabilities.
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No description provided.
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Orchestrate your own AI agents and build extensions for them — summon an agent by name, watch it think, ship its work. Runs on nostr, so no company owns your agents, your data, or your identity.
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No description provided.
genuine0.47cat0.99subst2.09Agent and Dev ToolingPythonheld because: genuine 0.47 below 0.5
API-first FSMA 204 food traceability: supplier data ingestion, Inflow preflight, CTE/KDE validation, tamper-evident audit evidence, recall readiness, and FDA-oriented exports. Optional Jev-assisted CSV mapping.
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AI Software Factory for Codex. Intelligent task routing, contextual orchestration, and automated Kanban workflows. Transform AI-powered development into a structured, scalable software production pipeline while keeping developers in control
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Maintain versioned semantic decisions as indexed PostgreSQL columns with a reclaimable work queue.
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No description provided.
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The typed judgment variant of YSAT: the verdict is composed in code from atomic typed questions, with an auditable trail and a state hash.
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Windows teach-and-guide navigator with semantic UIA targeting, explicit Enter approval, and an AI improvement brief.
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Customizable social feed labels for Weibo, Threads and X, powered by your TypeSafe account
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Pi extension for OpenRouter's jev-router: curated allowed models, hard cost exclusions, cost tier, and live-price recommendations of the 3 best models.
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No description provided.
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MeTask 12B structured decision service: judgments and option probabilities, with downloadable weights for private deployment. Organizer-measured JevBench Capability Score 77.9, #6 and top entry labeled 12B (2026-10-17); model card and leaderboard in README.
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Build your own super AI: skills, MCP servers, agent roles and instructions for Claude Code and Codex, installed with one reversible command.
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CPU-first unofficial System One + Playwright browser agent demo (operator UI, 10 CN site templates). Not affiliated with TypeSafe/Jev.
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情感推理
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Open-source Jev clone: a local System One decision model for fast, calibrated, typed decisions with dynamic options, shared-state inference and zero autoregressive decoding. Runs on Apple Silicon and CUDA.
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No description provided.
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No description provided.
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本地贪吃蛇。每步由代码给出合法走法的事实，Qwen 在封闭选项里做一次前向并选出下一步。判断来自 RJMSWD/QwenJev。
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JEV ROUTING TEST
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An LLM steering a spaceship in a virtual world using an LLM
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Apple Silicon Assembly implementation of Jev router
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No description provided.
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Jev Ultrafast 一键部署，超高速网页 Agent，本地开控制台直接接管 Chrome 第三方一键部署方案
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GitHub Actions bot that auto-triages incoming issues using TypeSafe AI's Jev decision model. Classifies by category, automatable, and urgency; applies labels and posts a confirmation comment.
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Jev Model
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Jev AI
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A probabilistic, AI-powered utility to determine if a number is not odd (or not even) using TypeSafe's Jev model and the Vercel AI SDK.
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No description provided.
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Prompt → Jev chooses Remotion components → timed preview. Vercel app.
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No description provided.
genuine0.47cat0.77subst0.94ApplicationsPythonheld because: genuine 0.47 below 0.5
Learning about Jev, Typesafes flagship structured decision model.
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Jev as the reflex in front of Grok 4.7: one cheap question before every expensive move. 25 tools → 8.
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detection and accessment with jev, vlm
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Working with the JEV model
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Deploy a Jev-compatible decision API locally in one click.
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Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
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An autonomous agent that conducts deep research on any data using any LLM providers
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PyTorch ML quant research: 213 factors, bias correction, portfolio optimization, backtesting, and System-One/Jev-style decisions.
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Turn any open model into a classifier/jev endpoint
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Jev-style typed decision engine on a diffusion LM (DiffusionGemma + MLX): one-pass slot reads, calibration, domain LoRA. Not affiliated with TypeSafe AI.
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Adaptador local multimodal Gemma 4 E2B/E4B QAT: interfaz web, probabilidades por opción, control de tokens y benchmarks en Windows/Vulkan.
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Decision Graph Protocol (DGP) by Numerous ApS: open-source contracts for decision-based AI agents, TypeSafe Jev orchestration, guarded actions, and assessment batching.
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Find Vercel AI SDK calls that may be candidates for Jev.
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No description provided.
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Add reasoning to Jev for harder problems
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No description provided.
genuine0.46cat0.98subst2.51Agent and Dev ToolingC#held because: genuine 0.46 below 0.5
No description provided.
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Standalone JEV visualization routing with chart selection, confidence thresholds, evidence and mark strategies
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Score a Terraform plan and surface a LOW/MEDIUM/HIGH/CRITICAL risk verdict in your PRs — job summary, sticky comment, and labels. Free deterministic rules by default; optional jev (TypeSafe) or any OpenAI-compatible model.
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Inventory personal data with local checks first and optional column-level semantic classification.
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Route a task to an LLM model config by required capability levels, benchmark scores and service usage
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High-performance LLM proxy server with dynamic prompt routing, multi-provider model registry, and OpenAI API compatibility.
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Agent plugin: TypeSafe Jev browser automation skills for Grok Bot / Cursor
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政治・サイバーニュースを出来事単位で整理し、脅威活動の続報を追うCodexスキル（スキル定義のみ）
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Jev Stage A explainer — quiet Read-mode scorecard for the frozen 20-post calibration spike
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Jev Model
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Practical examples and patterns for using Laya for classification, routing, scoring, structured decisions, and workflow automation.
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Jev Model
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Jev Model
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Judge agent steps — ok / retry / escalate / stop via TypeSafe Jev
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PulseLane — clinic triage decisions via TypeSafe Jev
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Grill-me with Jev optional each turn
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One classifier contract as resources: urn:iki:classify:{c}:answer over bayes, System One (Jev, Kev) and prompted-model backends, so a question picks its classifier by configuration
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No description provided.
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A live two-call policy simulation for carrying a block with a robot arm.
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Synthetic 30-step Violoop form automation demo
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Silent, capability-aware LLM routing for enterprise fleets — route each prompt to the cheapest model that can do the job
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JEV Demo Project
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Testing jev on Vercel.
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Extract structured data and insights from documents using LLMs and decision models
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Pi coding agent extension that allows Pi to autonomously control interactive CLIs in an observable overlay. Full PTY emulation, no tmux, token efficient. User can take over anytime.
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No description provided.
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JEV-inspired typed runtime decisions over long-horizon PSG: reusable overnight encoding, sparse retrieval, and Choice/Noul/Score probabilities.
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Mamba-JEV: a Mamba-based backbone with three prediction heads for classification, confidence estimation, and out-of-domain rejection. Features exact streaming ridge regression, closed-form head fitting, calibration, and uncertainty estimation—without gradient descent for the heads.
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Personal Skills Collection — governed first-party Agent Skills
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No description provided.
genuine0.45cat0.48subst2.34Agent and Dev Tooling?Pythonheld because: genuine 0.45 below 0.5
Find Skills, Install Easily!
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Git差分を必須確認・優先レビュー・判断材料不足・通常候補に整理するCLI。ヒューリスティック検出とJev/TypeSafe連携。design（設計可読性）シグナル対応。
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Interactive 3D Game Physics & Collision Simulator built with Three.js, Cannon-es, and Playwright automated visual test runners.
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TypeSafe Jev 4 Core Fast Skills Plugin (fast-context, fast-memory, fast-browser, prompt-engineer) for Google Antigravity & Claude Code
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System One Playground: a Jev-inspired decision playground (Choice, Score, Noul) running NLI entirely in the browser.
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No description provided.
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No description provided.
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No description provided.
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No description provided.
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Jev Model
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Jev Model
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Top X posts about Bybit and Ben Zhou, classified with TypeSafe Jev
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Jev Model
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Jev rank-wide-read-narrow: shortlist then spend compute
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Auto-approve low-risk PRs using TypeSafe's Jev
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No description provided.
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Project website for social-jev classification foundation models and package documentation
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Claude Code plugin: a System One model (Jev / decider) picks which functions a full Read shows; the rest become stubs
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Evaluating Jev for zero-shot evaluation
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JEV ?????????????(????)
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SO-meme HTML judge on TypeSafe Jev
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Multiplayer Wavelength: guess OpenAI decision confidence
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No description provided.
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Jev (TypeSafe AI) training session: slides and code-along guide
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A public respository for community-driven jev skills that can be directly integrated into the vidbyte-sdk's JevAgent.
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Jev(TypeSafe AI System One) 한국어 쿡북 — mdBook
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Using the Valen model developed by Fudan University, replicate the effect of the Jev model
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A collection of Jev-powered AI agents for intent recognition, embedding reranking, response evaluation, routing, and intelligent LLM workflows.
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Create Epic Math and Physics Animations & Study Notes From Text and Images.
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Linux, macOS ve Windows için kaynaklı ikinci beyin. Claude Code, Codex ve Antigravity adaptörleri; yerel Markdown kasa, ayrı hafıza incelemesi, isteğe bağlı Mem0/Jev.
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Agent Skill that finds where TypeSafe Jev decision models would pay off in a codebase. Works in Claude Code, Codex, Cursor and other Agent Skills hosts.
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Typescript SDK for Modaic
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No description provided.
genuine0.44cat0.89subst2.00Research and EvalsPythonheld because: genuine 0.44 below 0.5
Find, design, and evaluate TypeSafe Jev decision loops.
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Local judgment and evidence-preserving context coordination for Codex
genuine0.44cat0.89subst2.07Agent and Dev ToolingPythonheld because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat0.60subst2.12ApplicationsJavaScriptheld because: genuine 0.44 below 0.5
No description provided.
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No description provided.
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Typed decisions from open models: a probability for every option in one forward pass, no generated text.
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Reverse-engineering analysis: where Jev (TypeSafe System One) can fit inside HUQAN without breaking its "no model, no cloud" invariant. Turkish report + reproducible reachability probe.
genuine0.44cat0.99subst1.34Research and EvalsJavaScriptheld because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat0.52subst1.71Research and EvalsPythonheld because: genuine 0.44 below 0.5
Sorts Gmail, Outlook, iCloud and IMAP mail into categories with jev.ai, groups mail by sender, and never files authenticator or security mail as junk.
genuine0.44cat1.00subst1.96ApplicationsTypeScriptheld because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat0.66subst1.88ApplicationsJavaheld because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat0.97subst2.10Agent and Dev ToolingTypeScriptheld because: genuine 0.44 below 0.5
using a decicion model (like typesafe jev) running locally to do natural language input, controlling things like home assistant devices via a sort of "choose your own adventure game" prompt "ui"
genuine0.44cat0.65subst1.83Research and EvalsPythonheld because: genuine 0.44 below 0.5
jeva.cpp - a llama.cpp fork with a JEV-compatible decision API for all LLMs supported by llama.cpp.
genuine0.44cat0.76subst1.86Research and EvalsC++held because: genuine 0.44 below 0.5
Jev share presentation website
genuine0.44cat0.73subst1.87LearningVueheld because: genuine 0.44 below 0.5
Run Jev-like models in-browser with multi-backend support and open checkpoint defaults.
genuine0.44cat0.99subst2.01Research and EvalsPythonheld because: genuine 0.44 below 0.5
JEV — applied double operadic type system (Libkind–Myers, arXiv:2505.18329). Colored operads, masked-language correctness, fail-closed composition.
genuine0.44cat0.77subst1.62Research and EvalsTypeScriptheld because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat1.00subst1.81ApplicationsPythonheld because: genuine 0.44 below 0.5
Multi-agent healthcare pipeline using Google ADK, stdio MCP tools, and TypeSafe Jev safety gates for instant emergency triage and clinical draft QC.
genuine0.44cat0.62subst1.66LearningPythonheld because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat0.74subst1.48Research and EvalsPythonheld because: genuine 0.44 below 0.5
Dynamic context bundle priming & TypeSafe Jev state analysis for Pi Coding Agent
genuine0.44cat1.00subst1.66Agent and Dev ToolingTypeScriptheld because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat0.97subst1.59ApplicationsPythonheld because: genuine 0.44 below 0.5
Fictional OB/GYN hospital bed prototype with Jev note classification, cleaning timers, Docker setup and a narrated walkthrough. Demo only.
genuine0.44cat0.67subst1.79LearningJavaScriptheld because: genuine 0.44 below 0.5
Realistic 100-Fly Drosophila Sword Colosseum powered by 139k Biological Connectome Dynamics & TypeSafe JEV System One AI
genuine0.44cat1.00subst1.42Games and SimulationJavaScriptheld because: genuine 0.44 below 0.5
Projeto exemplo uso JEV - YOUTUBE
genuine0.44cat0.94subst1.31LearningTypeScriptheld because: genuine 0.44 below 0.5
Jev Model
genuine0.44cat0.31subst0.84Learning?HTMLheld because: genuine 0.44 below 0.5
Jev Model
genuine0.44cat0.28subst0.81Learning?HTMLheld because: genuine 0.44 below 0.5
Jev Model
genuine0.44cat0.59subst0.62LearningHTMLheld because: genuine 0.44 below 0.5
agentgateway LLM Guardrails :: JEV security guardrails :: KServe :: Killercoda.
genuine0.44cat0.39subst0.85Learning?Shellheld because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat0.93subst0.48Learningheld because: genuine 0.44 below 0.5
Jev context screen — Ormus Jev suite. Gold Hat.
genuine0.44cat0.48subst0.41Applications?held because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat0.60subst0.68Research and EvalsPythonheld because: genuine 0.44 below 0.5
No description provided.
genuine0.44cat0.95subst0.18LearningPythonheld because: genuine 0.44 below 0.5
Jev-powered Xray + Grafana observability for IPs and websites — classify traffic by site category, enrich it with WHOIS, DNS and network signals, detect routing anomalies, analyze traffic behavior, and turn the result into an operational risk score.
genuine0.44cat0.95subst0.00Applicationsheld because: genuine 0.44 below 0.5
A runtime for Jev, TypeSafe's System One model: jevels in, verdicts out
genuine0.44cat0.51subst0.00SDKs and Clientsheld because: genuine 0.44 below 0.5
jevのAPI機能をテストするためのプロジェクト
genuine0.44cat0.66subst0.00Learningheld because: genuine 0.44 below 0.5
Train lightweight language backbones for typed decisions and candidate probabilities. CE/Brier training, evaluation, and an offline end-to-end demo.
genuine0.43cat0.99subst2.73Research and EvalsPythonheld because: genuine 0.43 below 0.5
An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
genuine0.43cat0.88subst1.96Research and EvalsPythonheld because: genuine 0.43 below 0.5
Workload-aware Pareto frontiers and dynamic model selection for agentic systems
genuine0.43cat0.91subst2.45Research and EvalsPythonheld because: genuine 0.43 below 0.5
Multi-agent AI news pipeline powered by GLM-5.3-Flash and Jev
genuine0.43cat0.71subst2.75ApplicationsPythonheld because: genuine 0.43 below 0.5
Offline Kev-4B decision API for AWS A10G
genuine0.43cat0.38subst2.55Research and EvalsPythonheld because: genuine 0.43 below 0.5
VideoJev: System One Model for Video Understanding and Interaction
genuine0.43cat0.69subst2.09Research and EvalsPythonheld because: genuine 0.43 below 0.5
Teacher Supervision, Fixed Representations and Calibration: Exact Risk Calculations for Candidate-Scoring Decision Models
genuine0.43cat1.00subst1.52Research and EvalsTeXheld because: genuine 0.43 below 0.5
transforming the field of UI with realtime generation
genuine0.43cat0.79subst1.87ApplicationsTypeScriptheld because: genuine 0.43 below 0.5
Compares the WordPress actions and filters two versions of a plugin or theme fire, and reports changes that break code hooked to them. CLI and GitHub Action.
genuine0.43cat0.30subst2.27Applications?JavaScriptheld because: genuine 0.43 below 0.5
Mobile App (React Native/Expo + Supabase) para registro de experiências espirituais, inteligência de associação bíblica (JEV/TypeSafe AI) e rede de cuidado pastoral por e-mail.
genuine0.43cat0.99subst2.42ApplicationsTypeScriptheld because: genuine 0.43 below 0.5
No description provided.
genuine0.43cat0.33subst2.06Integrations?HTMLheld because: genuine 0.43 below 0.5
An executive branch for software repositories: patrols, investigation, prosecution, court and clerks that run inside the developer's own agent harness.
genuine0.43cat0.97subst2.19Agent and Dev ToolingTypeScriptheld because: genuine 0.43 below 0.5
No description provided.
genuine0.43cat1.00subst2.07Agent and Dev ToolingTypeScriptheld because: genuine 0.43 below 0.5
Non-executing Jev shadow decisions for Home Assistant
genuine0.43cat0.98subst1.56IntegrationsPythonheld because: genuine 0.43 below 0.5
Lightweight decision model built on Qwen2.5-0.5B with LoRA for calibrated multi-option decision-making, confidence scoring, and selective abstention.
genuine0.43cat0.96subst1.41Research and EvalsJupyter Notebookheld because: genuine 0.43 below 0.5
Rykker Strømsgodset opp i 2026? En enkel oversikt, oppdatert automatisk.
genuine0.43cat0.79subst2.10ApplicationsPythonheld because: genuine 0.43 below 0.5
Simple inference methods for social science text classification
genuine0.43cat0.66subst2.01Research and EvalsPythonheld because: genuine 0.43 below 0.5
A production-grade boilerplate and control center for next-generation AGI agents — combining Pi-calculus process channels, Just-in-Time Evaluation & Vector (JEV) engines, and Deep State Kernels (DSK) with a Nuxt.js / Vue 3 UI.
genuine0.43cat0.71subst1.08Agent and Dev ToolingTypeScriptheld because: genuine 0.43 below 0.5
https://zenn.dev/suwash
genuine0.43cat0.72subst1.73LearningAstroheld because: genuine 0.43 below 0.5
Jev decision routing model
genuine0.43cat0.89subst1.42LearningPythonheld because: genuine 0.43 below 0.5
Jev Model
genuine0.43cat0.37subst0.82Learning?HTMLheld because: genuine 0.43 below 0.5
Jev-MACE: A lightweight framework for multi-agent software development, aligning requirements, tasks, coding, testing, and reviews.
genuine0.43cat1.00subst0.48Agent and Dev Toolingheld because: genuine 0.43 below 0.5
No description provided.
genuine0.43cat0.92subst1.08Research and EvalsJupyter Notebookheld because: genuine 0.43 below 0.5
No description provided.
genuine0.43cat0.86subst0.05ApplicationsPythonheld because: genuine 0.43 below 0.5
No description provided.
genuine0.43cat0.60subst1.21LearningPythonheld because: genuine 0.43 below 0.5
Jev AI Decision Experiment
genuine0.43cat0.97subst0.57Research and EvalsHTMLheld because: genuine 0.43 below 0.5
gaurdrail based on hai gaurd rail package which support 's decision models like jev
genuine0.43cat0.36subst0.92Integrations?TypeScriptheld because: genuine 0.43 below 0.5
Jev 決策模型實戰 book
genuine0.43cat1.00subst0.64LearningHTMLheld because: genuine 0.43 below 0.5
No description provided.
genuine0.43cat0.61subst0.61Research and EvalsPythonheld because: genuine 0.43 below 0.5
Public ProofFacet experiment: bounded Jev threat triage with deterministic and human review
genuine0.43cat0.34subst0.29Applications?held because: genuine 0.43 below 0.5
Demos Jev: Pix Race e carro autonomo
genuine0.43cat0.96subst0.30Games and SimulationPythonheld because: genuine 0.43 below 0.5
Minecraft (Paper 1.21) chat moderation plugin powered by JEV from TypeSafe
genuine0.43cat0.86subst0.02ApplicationsJavaheld because: genuine 0.43 below 0.5
jev学習・検証用のリポジトリです。
genuine0.43cat0.98subst0.46LearningJavaScriptheld because: genuine 0.43 below 0.5
Public repo containing generated synthetic data to test jev from typesafe
genuine0.43cat0.74subst0.09Research and EvalsPythonheld because: genuine 0.43 below 0.5
AI群知能におけるフロンティアモデル（GPT）とJevの比較実験を目的としたリポジトリです
genuine0.43cat0.98subst0.00Research and Evalsheld because: genuine 0.43 below 0.5
The verifiable coding agent runtime. Define your coding agent's process in natural language with stages, checks, and approval gates instead of hoping it follows your instructions. Primitives for verifiable software factories.
genuine0.42cat0.92subst2.90Agent and Dev ToolingTypeScriptheld because: genuine 0.42 below 0.5
The chat decision assistant: before you reply, Jev reads the chat, judges intent and risk, and drafts replies you fill in with one tap. You press send. Android · Windows · macOS · iOS | 聊天辅助决策工具：先看懂对方再回复，发不发由你。
genuine0.42cat1.00subst2.56ApplicationsKotlinheld because: genuine 0.42 below 0.5
Convert and deploy laya — the open, Jev-compatible System One decision model — on Rockchip RK3588 and NVIDIA Jetson Orin. Conversion recipes, measured latency, and a reproducible acceptance protocol. RK3588 509 ms · Jetson Orin NX 18.9 ms · 16/16.
genuine0.42cat0.77subst2.00Research and EvalsPythonheld because: genuine 0.42 below 0.5
Readable AI checks, measured decision policies, and inspectable reports.
genuine0.42cat0.35subst2.06SDKs and Clients?TypeScriptheld because: genuine 0.42 below 0.5
Context optimization for Claude Code, Codex, and Cursor.
genuine0.42cat0.99subst2.03Agent and Dev ToolingTypeScriptheld because: genuine 0.42 below 0.5
Claude Code plugin that rewrites a hostile prompt into a plain request. A System One model decides (Laya by default, or Jev). Any instruct model can rewrite it. Qwen is only the default.
genuine0.42cat0.97subst1.99Agent and Dev ToolingPythonheld because: genuine 0.42 below 0.5
Non-destructive Multimodal Base with 7KB Modular Causal Decision Adapter for EmbeddingGemma-2
genuine0.42cat0.54subst2.00Agent and Dev ToolingPythonheld because: genuine 0.42 below 0.5
Curated skills and extensions for the Pi coding agent
genuine0.42cat1.00subst2.22Agent and Dev ToolingTypeScriptheld because: genuine 0.42 below 0.5
Per-turn model routing for Claude Code. Cheapest tier that can do the job, no API key required, and it calibrates itself from what actually happened.
genuine0.42cat0.99subst1.69Agent and Dev Toolingheld because: genuine 0.42 below 0.5
ResolveIQ by Jev — An AI-powered customer support triage platform that intelligently classifies support tickets, prioritizes issues, and generates context-aware response suggestions using Jev, LangChain, Groq, and FastAPI.
genuine0.42cat1.00subst2.20ApplicationsPythonheld because: genuine 0.42 below 0.5
Delegate browser operations to an ultra-fast MCP server, executing full page tasks in seconds with one tool call.
genuine0.42cat0.98subst2.02Agent and Dev ToolingPythonheld because: genuine 0.42 below 0.5
a JEV-style model (system one model) for autonomous driving
genuine0.42cat0.91subst1.94Research and EvalsPythonheld because: genuine 0.42 below 0.5
No description provided.
genuine0.42cat0.78subst2.11ApplicationsTypeScriptheld because: genuine 0.42 below 0.5
This is project for Jev-as-Judge-Engine
genuine0.42cat0.52subst1.49Research and EvalsPythonheld because: genuine 0.42 below 0.5
No description provided.
genuine0.42cat0.63subst1.48Research and Evalsheld because: genuine 0.42 below 0.5
全球首个兼具行为对齐与系统硬安全的跨四端 AI 机器紧箍咒操作系统 (Claude Code / Codex / Antigravity / DSH)
genuine0.42cat0.98subst1.85Agent and Dev ToolingHTMLheld because: genuine 0.42 below 0.5
A local multimodel AI assistant that intelligently routes queries to specialized models for general tasks, coding, and image generation.
genuine0.42cat0.95subst1.59ApplicationsPythonheld because: genuine 0.42 below 0.5
No description provided.
genuine0.42cat0.98subst0.75Learningheld because: genuine 0.42 below 0.5
Supercharge your job hunt on social feeds. Instantly isolate, highlight, and filter hiring opportunities on LinkedIn, X.com (Twitter), and Reddit with ultra-fast local heuristics (<0.003ms) and zero tracking using typesafe jev
genuine0.42cat1.00subst1.43ApplicationsJavaScriptheld because: genuine 0.42 below 0.5
No description provided.
genuine0.42cat0.55subst1.44LearningTypeScriptheld because: genuine 0.42 below 0.5
Jev + WAM: structured decisions for World Action Models and world-model planning. Design stage.
genuine0.42cat0.74subst0.49Research and Evalsheld because: genuine 0.42 below 0.5
Jev Model
genuine0.42cat0.33subst0.70Learning?HTMLheld because: genuine 0.42 below 0.5
Agent budget brake — continue / downgrade_model / stop via TypeSafe Jev
genuine0.42cat0.44subst0.82Applications?TypeScriptheld because: genuine 0.42 below 0.5
No description provided.
genuine0.42cat0.62subst0.27Learningheld because: genuine 0.42 below 0.5
Self-correcting audiobook TTS generator (CoreWeave Hacks) — TypeSafe tagging + Google TTS/STT + ARIA/Weave eval-correction loop
genuine0.42cat0.93subst0.62ApplicationsPythonheld because: genuine 0.42 below 0.5
TEMPORARY: figures from arXiv:2609.26550 (JEV-as-a-Judge) hosted solely to feed a Feishu doc import; repo will be deleted after import.
genuine0.42cat0.76subst0.06Research and Evalsheld because: genuine 0.42 below 0.5
No description provided.
genuine0.42cat0.98subst1.04LearningPythonheld because: genuine 0.42 below 0.5
Experimental project: I am want to test how well Jev can defend Jailbreak attempts on LLMs, help me if you can ❤️
genuine0.42cat0.99subst0.05Research and Evalsheld because: genuine 0.42 below 0.5
Trying out to see if Jev-based models can act as the router in MoE FFN models.
genuine0.42cat0.43subst0.00Agent and Dev Tooling?held because: genuine 0.42 below 0.5
No description provided.
genuine0.42cat0.58subst0.64ApplicationsPythonheld because: genuine 0.42 below 0.5
use jev model from terminal
genuine0.42cat1.00subst0.00SDKs and Clientsheld because: genuine 0.42 below 0.5
No description provided.
genuine0.42cat0.76subst0.25SDKs and ClientsPythonheld because: genuine 0.42 below 0.5
use jev & luna api
genuine0.42cat0.40subst0.00Learning?held because: genuine 0.42 below 0.5
BrowserClaw - Control your everyday Chrome browser from AI agents, without losing logins or focus
genuine0.41cat0.95subst2.92Agent and Dev ToolingTypeScriptheld because: genuine 0.41 below 0.5
JevGAG + DDAG: a two-GPU study of adaptive temporal granularity for causal video generation and video world models - the JevGAG report (preconditions) and the DDAG method (regime map, intrinsic probe, seam repair), with a boundary analysis.
genuine0.41cat0.84subst2.05Research and EvalsPythonheld because: genuine 0.41 below 0.5
No description provided.
genuine0.41cat0.95subst2.75ApplicationsJavaScriptheld because: genuine 0.41 below 0.5
Research testbed for long-horizon Unitree G1 tasks with Jev decision models, multi-swarm orchestration, and reinforcement-learning skills.
genuine0.41cat0.76subst2.14Games and SimulationPythonheld because: genuine 0.41 below 0.5
完全本地的 NanoJev 网格决策游戏实验场，支持中文 Pygame、多关卡与 GTX 1660S 训练
genuine0.41cat1.00subst2.24Games and SimulationPythonheld because: genuine 0.41 below 0.5
Chrome 侧边栏智能体插件
genuine0.41cat0.38subst2.28Applications?TypeScriptheld because: genuine 0.41 below 0.5
Jev Meta Ad Library System: private browser-use runner, live cockpit, and research pack
genuine0.41cat0.44subst1.99Agent and Dev Tooling?Pythonheld because: genuine 0.41 below 0.5
No description provided.
genuine0.41cat1.00subst2.20Games and SimulationTypeScriptheld because: genuine 0.41 below 0.5
Engineered with a confluence-driven architecture combining ICT / Smart Money Concepts, a TradingView Chart Pattern Engine, TypeSafe Jev AI (System One) Cognitive Reasoning, Dynamic Leverage (10x–50x), and an interactive Rich Terminal Dashboard UI.
genuine0.41cat1.00subst2.02ApplicationsPythonheld because: genuine 0.41 below 0.5
No description provided.
genuine0.41cat0.44subst1.62Research and EvalsJavaScriptheld because: genuine 0.41 below 0.5
No description provided.
genuine0.41cat0.99subst1.30LearningPythonheld because: genuine 0.41 below 0.5
No description provided.
genuine0.41cat1.00subst1.25LearningHTMLheld because: genuine 0.41 below 0.5
jev小游戏
genuine0.41cat0.87subst1.20Games and SimulationTypeScriptheld because: genuine 0.41 below 0.5
Jev Model
genuine0.41cat0.48subst0.64Learning?HTMLheld because: genuine 0.41 below 0.5
JEV / System One 실습: 닫힌 질문, 확률 판단, 코드 정책, Threads 분석 및 검증 기록
genuine0.41cat1.00subst0.89LearningPythonheld because: genuine 0.41 below 0.5
Outlook add-in for Microsoft 365 work and school accounts, powered by Jev from TypeSafe AI.
genuine0.41cat0.87subst0.80ApplicationsTypeScriptheld because: genuine 0.41 below 0.5
A simulation of Jev playing Snake
genuine0.41cat1.00subst0.98Games and SimulationPythonheld because: genuine 0.41 below 0.5
No description provided.
genuine0.41cat0.89subst0.97Research and EvalsPythonheld because: genuine 0.41 below 0.5
Jev claim verify — Ormus Jev suite. Gold Hat.
genuine0.41cat0.40subst0.12Applications?held because: genuine 0.41 below 0.5
TypeSafe AI (Jev)를 학습합니다.
genuine0.41cat1.00subst0.28LearningPythonheld because: genuine 0.41 below 0.5
基于 Jev 决策模型的多 Agent 协同工作流中台
genuine0.41cat0.88subst0.00Agent and Dev Toolingheld because: genuine 0.41 below 0.5
Model router for pi with Jev
genuine0.41cat0.91subst0.00Agent and Dev Toolingheld because: genuine 0.41 below 0.5
Using JEV as a RAG rerunker
genuine0.41cat0.37subst0.01Applications?held because: genuine 0.41 below 0.5
Passwortgeschützte Jev-Review-Auswertung; ausschließlich verschlüsselte HTML-Datei
genuine0.41cat0.36subst0.09Research and Evals?HTMLheld because: genuine 0.41 below 0.5
A decision based agent for performing small tasks related to different cloud services in AWS console.
genuine0.41cat0.67subst0.01Applicationsheld because: genuine 0.41 below 0.5
a set of toy projects comparing jev and openai decisions model
genuine0.41cat0.98subst0.00Research and Evalsheld because: genuine 0.41 below 0.5
Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
genuine0.40cat0.41subst2.90Research and EvalsPythonheld because: genuine 0.40 below 0.5
Interactive scenario study: if AI decisions got radically cheaper, would total AI inference energy fall or rise? A Jevons-paradox model with every number cited or labeled as an assumption, a Monte Carlo, and an independent Python check. A scenario tool, not a forecast.
genuine0.40cat0.68subst2.29Research and EvalsJavaScriptheld because: genuine 0.40 below 0.5
Experiments with small JEV-likes
genuine0.40cat1.00subst2.00Research and EvalsPythonheld because: genuine 0.40 below 0.5
Find code whose semantic decisions map to Jev Choice, Score, or Noul — an agent skill for Claude Code + Codex
genuine0.40cat1.00subst2.04Agent and Dev ToolingPythonheld because: genuine 0.40 below 0.5
JEV核心大脑，用于控制COMFYUI核心程序。
genuine0.40cat0.67subst2.00IntegrationsPythonheld because: genuine 0.40 below 0.5
The same decisions, on CPU. System One model that can run on your Personal Computer.
genuine0.40cat0.36subst2.00Research and EvalsC++held because: genuine 0.40 below 0.5
Multi-provider LLM context optimization SDK with local and TypeSafe Jev backends
genuine0.40cat0.37subst2.19SDKs and Clients?TypeScriptheld because: genuine 0.40 below 0.5
SEAL — No seal, no advance. Workflow kernel: product truth as a sealed graph (not an agent parade, not Jev-with-UI).
genuine0.40cat0.93subst2.02Agent and Dev ToolingPythonheld because: genuine 0.40 below 0.5
MeTask 31B structured decision service with weights for private deployment. Organizer-measured JevBench Capability Score 79.6, qualifying capability rank #3 (service v3, 2026-10-17). Model card, leaderboard and service-version relationship in README.
genuine0.40cat0.62subst2.18Research and EvalsPythonheld because: genuine 0.40 below 0.5
jev-like
genuine0.40cat0.48subst1.97Research and EvalsPythonheld because: genuine 0.40 below 0.5
Arabic intent routing for RAG apps and assistants: MSA, Emirati, Saudi and code-switched Arabic. Open weights (CC BY-NC 4.0).
genuine0.40cat0.42subst1.74Research and EvalsPythonheld because: genuine 0.40 below 0.5
Typed judgment layer for coding agents — gates from PRD to ship. Jev-ready, provider-agnostic.
genuine0.40cat1.00subst1.66Agent and Dev ToolingTypeScriptheld because: genuine 0.40 below 0.5
pi extensions used by yours truly.
genuine0.40cat0.94subst2.14Agent and Dev ToolingTypeScriptheld because: genuine 0.40 below 0.5
No description provided.
genuine0.40cat0.78subst1.82Research and EvalsPythonheld because: genuine 0.40 below 0.5
Clasificador de comandos de shell de una sola pasada (solo lectura / reversible / destructivo), inspirado en Jev
genuine0.40cat0.64subst1.70Research and EvalsPythonheld because: genuine 0.40 below 0.5
Mother Knows Best — The Conscious Style & Capsule Edit. A retail-editorial AI wardrobe stylist for mums aged 25-45: self-identify your life stage, chat with an AI stylist + TypeSafe AI Jev, photograph your wardrobe with Computer Vision, and fast-track to a zero-regret conscious capsule edit. Built on the motherknowsbest.ie colour system.
genuine0.40cat1.00subst1.48ApplicationsHTMLheld because: genuine 0.40 below 0.5
実践LLMアプリケーション開発サンプルコード
genuine0.40cat0.65subst1.91LearningPythonheld because: genuine 0.40 below 0.5
No description provided.
genuine0.40cat0.70subst1.00Research and EvalsPythonheld because: genuine 0.40 below 0.5
vLLM PR #57250 (structured generation mode for DiffusionGemma, Jev-like) rebased onto v0.29.0 — pure-Python overlay patch + regeneration script; artifact of os_jev_exp/sf-jev-deploy route ① (merged upstream 2026-09-22, frozen)
genuine0.40cat0.41subst1.21Other?Shellheld because: genuine 0.40 below 0.5
Jev loop cookbook: State → Questions → Action → Verify
genuine0.40cat1.00subst0.44Learningheld because: genuine 0.40 below 0.5
No description provided.
genuine0.40cat0.46subst0.92Games and Simulation?JavaScriptheld because: genuine 0.40 below 0.5
Sorts emails into folders using Jev, TypeSafe AI's decision model
genuine0.40cat0.99subst0.88ApplicationsPythonheld because: genuine 0.40 below 0.5
Jev AI quickstart & FAQ — TypeSafe AI's System One model. Try it free: jevtypesafeai.com
genuine0.40cat0.99subst0.06Learningheld because: genuine 0.40 below 0.5
Intelligent task router using TypeSafe's Jev
genuine0.40cat0.96subst0.53Agent and Dev ToolingPythonheld because: genuine 0.40 below 0.5
Unofficial AXI-style CLI for TypeSafe System One models, including Jev.
genuine0.40cat1.00subst0.00SDKs and Clientsheld because: genuine 0.40 below 0.5
Experiments with TypeSafe Jev — a Gmail organiser built on typed System One decisions
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A pure Dart sdk wrapper around Typesafe AI API and JEV
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SpinJEV: a jev-style spinal cord for embodied agents
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Repo for playing around with Jev
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firelex/jeff
★ 1.5kgithub ↗Millisecond decisions, any domain: a 0.8B open "System 1" model that picks between your options with calibrated probabilities. One base, swappable LoRA adapters, on your own hardware.
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A unified, async Python framework for LLM applications—chat, autonomous agents, RAG, and sandboxed code execution. Supports OpenAI, Anthropic, Gemini, Ollama, and more through a single API. Features an 8-phase cognitive reasoning cycle, Docker-based isolation, human-in-the-loop approvals, session management, and comprehensive observability.
genuine0.39cat0.34subst2.96Agent and Dev Tooling?Pythonheld because: genuine 0.39 below 0.5
REACH — RAG Endpoint & AI Chat Host. A SimpleRAG plugin (installable via GitHub URL) + hosted OpenAI-compatible endpoint: unlimited gpt-4o for everyone, relayed through OmniRoute's codegpt provider.
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Small System One decision models (17M–400M) for Yes/No, Choice, Score, and reranking. Training toolkit, Python inference, and ONNX support for Node.js and browsers.
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TypeSafe Place: a multiplayer 3D social world for browser and desktop, inspired by Houston’s River Oaks District. Explore shared spaces with expressive avatars, resident conversations, and optional AI companions.
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No description provided.
genuine0.39cat0.83subst2.36ApplicationsPythonheld because: genuine 0.39 below 0.5
No description provided.
genuine0.39cat0.63subst2.29Research and EvalsPythonheld because: genuine 0.39 below 0.5
Provider-neutral JEV execution envelopes and Gooo provenance experiments
genuine0.39cat0.35subst1.71Research and Evals?Goheld because: genuine 0.39 below 0.5
Provider-neutral Node.js client for LLMs, streaming, tools, structured output, and document processing.
genuine0.39cat0.83subst2.55SDKs and ClientsJavaScriptheld because: genuine 0.39 below 0.5
Jev decision engine for OpenCode V2: structured routing + action guard (Agnes 3.0 Flash)
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Private source for ugrp
genuine0.39cat0.73subst2.32Games and SimulationPythonheld because: genuine 0.39 below 0.5
JEV Web Control - 基于JEV模型的网页自动化浏览器插件，适用中文环境，快速体验
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No description provided.
genuine0.39cat0.97subst1.68Research and EvalsHTMLheld because: genuine 0.39 below 0.5
A routing system inspired by [Jev](https://typesafe.ai), TypeSafe AI's "System One" model that makes fast, calibrated decisions instead of generating free-form text. This service applies that idea to score the complexity of an incoming request and route it to the most cost-effective LLM.
genuine0.39cat0.77subst2.24Agent and Dev ToolingPythonheld because: genuine 0.39 below 0.5
BotStory: Cosmic v83 + cosmic_agents companions, living world, citizens, TypeSafe Jev, skill probe harness
genuine0.39cat0.77subst2.25Games and SimulationJavaheld because: genuine 0.39 below 0.5
Paperclip (paperclipai/paperclip, MIT) with automatic task routing by TypeSafe's Jev model
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KidsNews v2 redesign — UI + pipeline working repo. Future deploy target: news.6ray.com
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Grade page sections for clarity, writing and on-page SEO. WXT + TypeSafe AI Jev.
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Extract systematic review data from trial reports with verbatim quotes, highlighting sources, and export structured tables.
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No description provided.
genuine0.39cat0.48subst1.34Research and Evals?Pythonheld because: genuine 0.39 below 0.5
No description provided.
genuine0.39cat0.28subst0.45Learning?held because: genuine 0.39 below 0.5
Decouple AI from storage with an agnostic Agentic GraphRAG pipeline for Neo4j, Memgraph, AGE, and Kùzu.
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Match user goals to MCP catalog (two-stage) via TypeSafe Jev
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JEV-Diffusion npm wrapper — substrate-segmented image description.
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No description provided.
genuine0.39cat0.94subst0.92ApplicationsPythonheld because: genuine 0.39 below 0.5
No description provided.
genuine0.39cat0.72subst0.91ApplicationsPythonheld because: genuine 0.39 below 0.5
Probar el modelo jev en uno de sus casos de uso
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Una presentación que hice en Sheriff sobre Jev: un modelo que funciona distinto al resto de los LLMs convencionales, por qué y cuándo conviene usarlo, y cómo podemos aplicarlo en nuestro caso específico.
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No description provided.
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Jev 决策模型 15 分钟演讲（网页版）
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Laboratório de estudos e experimentação com JEV, explorando modelos de decisão probabilística, calibração, comparação com LLMs e aplicações em arquiteturas multiagentes de IA.
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No description provided.
genuine0.39cat0.93subst0.18LearningTypeScriptheld because: genuine 0.39 below 0.5
微信消息意图识别悬浮窗（macOS）：本地 Laya 判断意图与风险，纯只读、零数据外传
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MLX proof of concept of LLM-as-Jev (arXiv:2610.02076): LLMs as Jev-style decision models
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Local Jev / System One–compatible gateway — not TypeSafe’s Jev. Fast, privacy-first, offline.
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No description provided.
genuine0.38cat0.59subst1.98IntegrationsTypeScriptheld because: genuine 0.38 below 0.5
No description provided.
genuine0.38cat0.76subst2.02Research and EvalsPythonheld because: genuine 0.38 below 0.5
Multi-agent AI trading-research desk: Grok macro/news/chart researchers + JEV portfolio manager & risk desk, Telegram YES/NO/LATE approval, fixed-dollar risk, prompt-injection defence. Paper by default.
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No description provided.
genuine0.38cat0.81subst2.00Research and EvalsPythonheld because: genuine 0.38 below 0.5
No description provided.
genuine0.38cat0.96subst1.99Research and EvalsPythonheld because: genuine 0.38 below 0.5
Complete-article Wiki assistant with reproducible RAG comparisons and lightweight graph navigation experiments
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JEV for Codex: structured routing, evidence-backed review, and a six-signal action guard.
genuine0.38cat0.93subst2.00Agent and Dev ToolingPythonheld because: genuine 0.38 below 0.5
Local code & document retrieval layer built on Tantivy: CJK/code tokenization, query AST, symbol-aware evidence spans, and intent-to-context capsule packing.
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Jev-family model/tooling repo: CyberJev
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No description provided.
genuine0.38cat0.99subst2.05ApplicationsPythonheld because: genuine 0.38 below 0.5
Obsidian plugin to automatically fill in the gaps of your Deutsch
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Type an identity concept in plain language; a fine-tuned Laya decision model pulls the matching standards out of a pile. Zero-shot 40% -> fine-tuned 87%, trained on a Mac mini.
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Jev-style document decisions: Qwen + MLP on (document, hypothesis) pairs, with a marketing/legal/other dataset
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System 1 model based project
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MOSS × Jev: a recorded-run 3D demo of the litter-picking rover choosing targets with TypeSafe's Jev decision model.
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Reel Score Lab — pick the best reel. Concept demo UI powered by Jev pilot scores. Not affiliated with TypeSafe.
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Route tasks to research/code/browser/support/writer agents via TypeSafe Jev
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Jevを判断するAIとしてUX/UIへ導入するための設計ガイドと公開事例リファレンス
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No description provided.
genuine0.38cat0.90subst0.97ApplicationsPythonheld because: genuine 0.38 below 0.5
No description provided.
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No description provided.
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No description provided.
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No description provided.
genuine0.38cat0.43subst0.66SDKs and Clients?Pythonheld because: genuine 0.38 below 0.5
Visual field guide to TypeSafe Jev cases, OSS and research
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from kelip
genuine0.38cat0.99subst0.23Research and EvalsTeXheld because: genuine 0.38 below 0.5
No description provided.
genuine0.38cat0.28subst0.48Research and Evals?Pythonheld because: genuine 0.38 below 0.5
Jev advertising decision module replacement evaluation (HTML report only)
genuine0.38cat0.91subst0.03Research and EvalsHTMLheld because: genuine 0.38 below 0.5
a simple model trained on inspiration of jev
genuine0.38cat0.46subst0.18Research and EvalsPythonheld because: genuine 0.38 below 0.5
testing jev model(s) in different settings
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OmniJev — multimodal finite-choice decision interface and MuJoCo embodied workbench: trajectory replays, decision probes, benchmark panels, 60s walkthrough.
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No description provided.
genuine0.37cat0.66subst2.12Research and EvalsPythonheld because: genuine 0.37 below 0.5
AI gateway that validates before it executes: Lead plans, JEV validates, Worker generates. Local-first control plane, 359-provider catalog.
genuine0.37cat0.84subst2.48Agent and Dev ToolingTypeScriptheld because: genuine 0.37 below 0.5
Gooey is a hybrid immediate/retained mode UI framework designed for building fast, GPU-rendered applications on macOS/Metal, WebAssembly/WebGPU, and Wayland/Vulkan
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High-performance LLM proxy: one OpenAI-style API over 20+ providers, with multi-tenant keys, full request logging, and usage analytics. Built in Rust.
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No description provided.
genuine0.37cat0.58subst2.56Agent and Dev ToolingTypeScriptheld because: genuine 0.37 below 0.5
An open Jev-class decision model: Qwen3.5-9B on Mapika's decider recipe, plus a hard-decision data and RL study
genuine0.37cat1.00subst1.88Research and EvalsPythonheld because: genuine 0.37 below 0.5
Impact des changements OpenLineage / OpenLineage change impact / Impacto de cambios OpenLineage
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No description provided.
genuine0.37cat0.80subst2.03ApplicationsPythonheld because: genuine 0.37 below 0.5
Jev Resume Disqualifier: Sub-25ms automated resume knockout engine powered by TypeSafe Jev System One decision intelligence. Eliminates 80% of unqualified applicants with deterministic date math & EEOC-safe rejection notices.
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Best Roblox Studio Instance Reviewer 2026: Typed Jev Criteria and Exact Citations
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Autonomous Enterprise Software Company Plugin for Google Antigravity — 17 cost-optimized sub-agents (Pro/Flash), 314 standalone skills, 22 language rule sets, Clean-Room isolation, and Jev (typesafe/jev-1.13) verification gate.
genuine0.37cat0.97subst2.00Agent and Dev ToolingPythonheld because: genuine 0.37 below 0.5
顶想云启智AI SDK
genuine0.37cat0.67subst1.63SDKs and ClientsPHPheld because: genuine 0.37 below 0.5
SUPER GPT — Desktop control center with Jev Intelligence powered by TypeSafe
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No description provided.
genuine0.37cat0.97subst1.00Research and EvalsPythonheld because: genuine 0.37 below 0.5
Jev Android signed release APK
genuine0.37cat0.96subst0.90Applicationsheld because: genuine 0.37 below 0.5
Jev Player Demo
genuine0.37cat0.86subst1.01Games and SimulationHTMLheld because: genuine 0.37 below 0.5
Prompts to jev-ify your projects
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3D chess powered by TypeSafe AI (Jev). AI vs AI by default, or play either side. Multiple difficulty levels.
genuine0.37cat0.99subst0.79Games and SimulationTypeScriptheld because: genuine 0.37 below 0.5
Spring Boot starter for TypeSafe AI's Jev — typed Choice/Score/Noul decisions in your Spring MVC app, no text parsing required.
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No description provided.
genuine0.37cat0.52subst0.43LearningHTMLheld because: genuine 0.37 below 0.5
Official repository for One Pretrained Decision Model Is Enough for Training-Free Generalist Graph Anomaly Detection. Code will be released upon paper acceptance.
genuine0.37cat0.58subst0.00Research and Evalsheld because: genuine 0.37 below 0.5
Public deployment of the Jev resume-scoring analysis
genuine0.37cat0.78subst0.29ApplicationsHTMLheld because: genuine 0.37 below 0.5
Testing Jev speed
genuine0.37cat0.35subst0.41Applications?TypeScriptheld because: genuine 0.37 below 0.5
No description provided.
genuine0.37cat0.67subst0.37ApplicationsPythonheld because: genuine 0.37 below 0.5
No description provided.
genuine0.37cat0.42subst0.22Learning?Pythonheld because: genuine 0.37 below 0.5
No description provided.
genuine0.37cat0.79subst0.14Agent and Dev ToolingJavaScriptheld because: genuine 0.37 below 0.5
Guardrails based on Jev, Typescript.AI's System One model
genuine0.37cat0.85subst0.00Agent and Dev Toolingheld because: genuine 0.37 below 0.5
Teams-first Multi-agent orchestration for Claude Code
genuine0.36cat0.93subst2.98Agent and Dev ToolingTypeScriptheld because: genuine 0.36 below 0.5
No description provided.
genuine0.36cat0.99subst1.95Research and EvalsPythonheld because: genuine 0.36 below 0.5
Open-source macOS activity history: local-first Computer History, Screen Time and AI conversation indexing with verifiable selective sharing.
genuine0.36cat0.73subst2.87ApplicationsSwiftheld because: genuine 0.36 below 0.5
Kev-style structured decisions on BitNet with a native I2_S CPU path (source preview)
genuine0.36cat0.58subst2.08Research and EvalsPythonheld because: genuine 0.36 below 0.5
No description provided.
genuine0.36cat0.89subst2.17Research and EvalsJavaScriptheld because: genuine 0.36 below 0.5
No description provided.
genuine0.36cat0.65subst2.11Research and EvalsPythonheld because: genuine 0.36 below 0.5
Pandu, is mini Jev model, inspired by Jev. Tiny policy models for fast, local, uncertainty-aware decisions in closed-loop AI environments.
genuine0.36cat0.85subst2.01Research and EvalsPythonheld because: genuine 0.36 below 0.5
Pick the best option from a list, with percentages you can trust. ModernBERT + LoRA, calibrated, handles 2 to 151 options.
genuine0.36cat0.82subst1.95Research and EvalsPythonheld because: genuine 0.36 below 0.5
Jev-style game agents with Gemma, Tunix, and MLX
genuine0.36cat0.56subst2.00Research and EvalsPythonheld because: genuine 0.36 below 0.5
AI orchestrator with GOAP for tiny models. Self widget + webmcp support
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AI smart home assistant using MQTT and GPT to generate playful event notifications
genuine0.36cat0.92subst2.01ApplicationsPythonheld because: genuine 0.36 below 0.5
Ship the result, not the conversation. 35ms discriminative decision engine for AI agent deliverables (inspired by TypeSafe Jev & Occam's razor).
genuine0.36cat0.45subst1.68Research and EvalsPythonheld because: genuine 0.36 below 0.5
Local-first finite clipboard routing for Raycast
genuine0.36cat0.92subst1.93ApplicationsJavaScriptheld because: genuine 0.36 below 0.5
No description provided.
genuine0.36cat0.73subst1.86Research and EvalsPythonheld because: genuine 0.36 below 0.5
No description provided.
genuine0.36cat0.76subst1.84ApplicationsTypeScriptheld because: genuine 0.36 below 0.5
Cursor and Hermes marketplace for the four published JEV Labs routers.
genuine0.36cat0.98subst1.50Agent and Dev Toolingheld because: genuine 0.36 below 0.5
Learn Jev — TypeSafe System One typed decisions for software. Personal GitHub Pages reference hub (deck, shorts, sources). Unofficial.
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JEV 27B pulls jev ai model and jev huggingface. typesafe jev, jev llm, ollama gguf, quant lane, qwen base, local desk, vl caption, instruct tune, sock pull, weights, blob store, dtype cast.
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jev-decision-maker
genuine0.36cat0.52subst1.12ApplicationsPythonheld because: genuine 0.36 below 0.5
No description provided.
genuine0.36cat0.27subst1.60Research and Evals?Pythonheld because: genuine 0.36 below 0.5
No description provided.
genuine0.36cat0.99subst0.92LearningPythonheld because: genuine 0.36 below 0.5
Paper-trading-labb för BTC med TypeSafe Jev — bara papper, ärliga mätningar
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Demo repository for TypeSafe and JEV patterns
genuine0.36cat0.98subst1.05LearningPythonheld because: genuine 0.36 below 0.5
A gamified visualizer for executing tasks with Jev and Agentic systems
genuine0.36cat0.47subst0.28Games and Simulation?Pythonheld because: genuine 0.36 below 0.5
Searchkick-style search for Rails, powered by TypeSafe's Jev: index-time labels, query understanding, and streamed reranking on top of your own keyword and embedding search
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Complete review site for jev-tape wiki (30 pages). Not a live TypeSafe qualifier.
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Upload Document and ask Jev on Cloudflare Workers
genuine0.36cat0.73subst0.02ApplicationsVueheld because: genuine 0.36 below 0.5
typesafe.ai model jev finance benchmark
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Hands-on practice and experiment with TypeSafe AI's Jev / System One model
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Remote configuration for JEV iOS Shortcuts
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High-performance MLX-based LLM inference engine for macOS with native Swift implementation
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mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B — read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench.
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Generation-free typed decisions on Indic LLMs. An open Jev-style inference engine on sarvam-1: constrained logit readout instead of autoregressive JSON. Runs client-side in the browser.
genuine0.35cat0.99subst2.11Research and EvalsPythonheld because: genuine 0.35 below 0.5
Local-first Maildir-inspired work mailstore for software agents
genuine0.35cat0.99subst2.79Agent and Dev ToolingPythonheld because: genuine 0.35 below 0.5
A policy engine for LLM decisions: declare routes, gates and actions once in TypeScript or Python, and every decision comes validated, explainable, replayable and audited.
genuine0.35cat0.74subst2.42Agent and Dev ToolingJavaScriptheld because: genuine 0.35 below 0.5
Autonomous Multi-Agent Financial Trading & Market Intelligence Platform
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Turn calibrated probabilities and explicit mistake costs into thresholds, escalation bands and action rankings.
genuine0.35cat0.31subst2.12Other?Pythonheld because: genuine 0.35 below 0.5
No description provided.
genuine0.35cat0.67subst2.35OtherPythonheld because: genuine 0.35 below 0.5
DevPass Code — the terminal coding agent for LLM Gateway (fork of opencode)
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An AI database agent for the terminal, built on the tinystruct Java framework. You ask questions in plain English, such as "show me the ten newest orders" or "how many users signed up this week?". The agent works out the SQL, runs it against your database, and shows the results.
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No description provided.
genuine0.35cat0.99subst2.20ApplicationsPythonheld because: genuine 0.35 below 0.5
《Jev 工程学：为 coding agent 而作》完整中文翻译 — 保留原结构与 7 张插图
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Jev-inspired System-1 subconscious cognitive decision layer resolving typed routing, loop-stall arbitration, and tool safety checks at sub-millisecond latency.
genuine0.35cat0.99subst1.38Agent and Dev ToolingPythonheld because: genuine 0.35 below 0.5
Adaptive mobile QA explorer using deterministic Maestro control and bounded Jev decisions
genuine0.35cat0.25subst1.00Agent and Dev Tooling?Shellheld because: genuine 0.35 below 0.5
Testing Jev ai model
genuine0.35cat0.38subst0.67Research and Evals?held because: genuine 0.35 below 0.5
No description provided.
genuine0.35cat0.53subst1.34ApplicationsPythonheld because: genuine 0.35 below 0.5
LaneBreak — support ticket priority+routing via TypeSafe Jev
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Latent reasoning for user-intent decomposition: does more continuous-space compute produce better goal extraction? With JEV (TypeSafe System One) as the calibrated decision layer.
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jev browser automation
genuine0.35cat0.25subst0.62Applications?Pythonheld because: genuine 0.35 below 0.5
No description provided.
genuine0.35cat0.41subst0.83Research and Evals?Pythonheld because: genuine 0.35 below 0.5
No description provided.
genuine0.35cat0.90subst0.01Research and Evalsheld because: genuine 0.35 below 0.5
This repo will contain the applications of JEV model. Software needs System 1 thinking, but we keep building System 2 thinking. “Models have been superhuman at chat for years, so where is all the automation?” — Diogo Almeida
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TypeSafe の Jev で遊んでみる
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Playing around with jev
genuine0.35cat0.89subst0.12LearningPythonheld because: genuine 0.35 below 0.5
mini JEV
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A tool that replaces everything that can be deterministic in repository work: search, symbols, callers, task scope, history, review and Git from one local CLI, so your AI coding agent spends its tokens on the hard part.
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JEV-style decision-task benchmark on local 4xV100: 3 output-constraint mechanisms compared on Qwen3.8-27B, two evaluation-methodology bugs found and corrected, full raw outputs
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Drive a real browser or a real LangGraph agent through one declared user journey, and report what actually happened. A page saying 'success' is never accepted as proof.
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Jev, with senses.
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个人主页：信息展示 + 实时状态（Emby / Apple Music / 充电头 / Vibe Coding）
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结构化输出的测试代码项目
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SKY130A signoff macro jev_mesh_2x2. One shuttle.
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Contextual, inline clipboard decomposition for macOS — Tab-to-paste with full history and time-decay ranking. Powered by TypeSafe JEF.
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No description provided.
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Orchestrator and subagent setups for Claude Code and Codex: routing, verification, and safe global installation.
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No description provided.
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Get typed decision probabilities from context and candidates, instantly—no autoregressive generation or JSON parsing.
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Chrome extension: Macmillan Learning multiple-choice hints via TypeSafe Jev
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No description provided.
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Full-stack human data labeling from live CCTV (YOLOv8 pre-labels + TypeSafe Jev decisions)
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No description provided.
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No description provided.
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No description provided.
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No description provided.
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No description provided.
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jev that grades leads
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No description provided.
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A cheaper way to automate browser actions using Jev
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No description provided.
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No description provided.
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a new System One model which is most effiecient in token usage and faster response.
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Hello world example of typesafe ai's model in java
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A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
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A 4B decision model: calibrated probabilities for yes/no, choice and score questions over long inputs.
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AI framework for Ruby/Rails developers
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U-NSGA-III multi-objective evolutionary optimization for .NET (Seada & Deb) — ZDT/DTLZ, IGD oracle vs pymoo
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美股交易agent
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作者地址
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Claude skill: a quick gut-check on whether Jev (TypeSafe's typed-judgment model) could help with what you're building
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Choose the right agent, MCP server, or skill before granting access
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Point-in-time analytics lab with reproducible data layers, temporal validation and 74 automated tests
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POC: dois System One Models (Jev vs Laya) jogando o jogo real do dinossauro do Chrome, com comparacao de latencia, custo e performance ao vivo.
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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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Local-first control layer for Pi. TypeSafe routes tasks, manages cache-aware model leases, gates bounded specialist consultations, protects context, verifies outcomes, and logs decisions for future training.
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No description provided.
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High availability mirror and network topology specifications for jev-chat/jev-chat-jarvis
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Qaf AI + Jev: public Arabic submission materials and independently written evidence workflow demonstration
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No description provided.
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Jev structured decisions for Claude, ChatGPT, Kimi Code, ZCode and Codex via MCP
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No description provided.
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Build a 0.6B parallel decision model that turns states into probability distributions—no output-token decoding needed.
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JEV를 JRPG 커맨드 메뉴로 설명하는 HTML 슬라이드
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JEVlis ka
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HireSignal — resume first-pass fit+interview via TypeSafe Jev
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No description provided.
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Create a simple AI Project using Python and TypeSafe's New Jev model. The project will create a connection to a user's mail and allow jev to make reasoning decisions for how to organize and filter a user's mailbox. This project was used as an activity for high school students attending a South Alabama "Jag Day" at the School of Computing.
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Day 0 Jev Daily Pipeline demo: viewable fast-jev-compaction pattern (TypeSafe Jev), public Vercel URL
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No description provided.
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MVP Quantitative Trading Model based on Jev framework
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No description provided.
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jev-demo for team-a study
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This SEO auditor leveraging JEV - a efficient, budget-friendly guided SEO auditor.
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No description provided.
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Jev Model Direct Approach-Reinforcement Learning for Calibrated Decisions (RLCD)
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Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
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No description provided.
genuine0.32cat0.99subst2.22Research and EvalsPythonheld because: genuine 0.32 below 0.5
Semantic ifs in Rust — typed option logits from open GGUF models via llama.cpp. Inspired by SemIf/OpenJev; not affiliated with Jev or TypeSafe.
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No description provided.
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SCXML bots on scxml.rs (port of mosfet)
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Jev-style 决策模型中文入门实战：从候选打分头到推箱子与页面按钮选择，包含训练代码、交互演示和真实评测。
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A local wikillm base on nano-jev
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A portable coding lifecycle for AI agents with deterministic routing across 42 skills, durable state, and mutation-aware verification
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Micdrop is a set packages for node and browser that simplify voice conversations with AI systems.
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Repository for the paper "Sub-KG Extractor: A Unified Framework for Topic-Specific Sub-Knowledge Graph Extraction Using Large Language Models"
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Makes Claude Code and Codex ask whether a step needs a generative LLM at all — or whether it belongs on Jev, TypeSafe's System One model. Architecture arbitrage before the code is written.
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No description provided.
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Snapshot of the OBS overlay for the Jev Factorio stream as deployed, traced to its upstream source commit
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Jev-inspired System-1 subconscious cognitive decision layer resolving typed routing, loop-stall arbitration, and tool safety checks at sub-millisecond latency.
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a ZERO-DOLLAR on-chain intelligence and trading platform using JEV by TypeSafe AI as a core reasoning/computation layer instead of relying exclusively on traditional LLMs.
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Practical, guarded tools for AI agents—maintenance, skill discovery, email triage, harness routing, and context-efficient file reads.
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40-agent, ~10,163-dimension security analysis swarm (static + live ops) with a scored 46-chain exploit planner and Jev (TypeSafe System One) decisioning. Built and verified; source available on request.
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Graduated autonomy for guest-message triage - Meta Global AI Developer Hackathon build, Oct 26-Nov 4, 2026
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This is a satellite radar cross taging package that utilizes Jev to determine cross-tagging events based off satellite orbits, similarity in radio signature, and delivers a statistical evaluation of which signal corresponds to the two satellites. It intitally uses simulations to describe the problem and has a list of assumptions.
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No description provided.
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Real-time type-safe AI insights directly in your browser.
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No description provided.
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No description provided.
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One click to turn messy folders into organized, structured spaces. Tidy uses AI to classify your files and automatically move them where they belong.
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No description provided.
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No description provided.
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Sub-agents for pi: delegate tasks to autonomous child agents, with Jev (TypeSafe) calibrated model routing and result verification.
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AX-first computer use for AI agents on macOS with optional Jev (TypeSafe System One) semantic guards: calibrated target/input judgments before an irreversible action, decisions kept in code. Accessibility-tree targeting, window-scoped input, clipboard-safe paste, read-back verification. Ships a pip CLI, a pi package and a DeepSeek Harness plugin.
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A container image for [Laya](https://pypi.org/project/laya/), the open-weight typed-decision model, served over the `POST /v1/systemone` protocol (the same wire format as TypeSafe's Jev API). tuvl's `decide` agents use it as a decision model; anything that speaks `/v1/systemone` can.
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Wiring a fast local NLI judge (Jev) into GEPA's reflective prompt optimization loop
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No description provided.
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Compares who can run each WordPress AJAX action, REST route and admin page in two versions, and reports the changes that let more users in.
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code intelligence daemon for AI agents
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A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
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An operating layer for your agent's judgment — instruction-only skills that make it verify before it acts, specify before it builds, and ship artifacts instead of foam. 4 skills, an advisor agent, 2 quality-control hooks.
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testcode
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SKY130A signoff macro jev_tile_2x2. One shuttle.
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Train your own Jev-style decision model: Chinese interactive course, Qwen LoRA on Mac, and online learning exercises.
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jev-chat-jarvis
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Non-Autoregressive AI Agent Decision Model. Open-source SOTA alternative to TypeSafe Jev. O(1) Tool Routing & DOM Automation on Qwen3.5-2B .
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Native Model Context Protocol (MCP) server providing typed state-action schema arbitration, deterministic action dispatch, and token-saving pre-escalation filters.
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No description provided.
genuine0.31cat0.90subst1.50ApplicationsTypeScriptheld because: genuine 0.31 below 0.5
Jevの仕組みを活用したSystem One（超高速判定機0によるLLMルーティングをローカルモデルで再現・検証するベンチマークを構築してみました
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jev
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A source-cited explainer on Jev and TypeSafe System One
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No description provided.
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agentgateway LLM Guardrails :: JEV security guardrails :: KServe :: Killercoda.
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No description provided.
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No description provided.
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A test project based on Jev AI, the goal is to build a search function for a blog/article website that has 100s of articles to search from, So the user can actually use the search as chat to question anything and find related answers/articles
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Personal build workflow for the open-source Jev iPhone keyboard; no credentials included.
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No description provided.
genuine0.31cat0.30subst0.38Applications?Swiftheld because: genuine 0.31 below 0.5
classifies gmail using the system one model jev.
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No description provided.
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A super lightweight structured decision engine for edge devicea
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No description provided.
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No description provided.
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Claude Code mod: fold tool results instead of summarizing, keep project state, and Jev judgment gates (off by default).
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An intent-aware execution router for Stock Tokens that lets autonomous agents discover and execute trades while verifying that the selected asset, price, issuer, size, and market state still match the user's authorization.
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No description provided.
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The only guide you need to understand jev
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No description provided.
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Native Model Context Protocol (MCP) server providing typed state-action schema arbitration, deterministic action dispatch, and token-saving pre-escalation filters.
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Serve a released Kev checkpoint as a System One endpoint from Windows (or any host with Docker + an NVIDIA GPU), launched from the Docker Desktop GUI or docker compose
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Building of the personal Finance Agent
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Personal T3 Code fork with an opt-in Jev model-routing trial. Based on pingdotgg/t3code.
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AI-powered log triage for DevOps JEV flags the noise, Claude explains the root cause.
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No description provided.
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No description provided.
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Notebook-paper doodle wave shooter. Code owns physics; Jev picks enemy tactics.
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No description provided.
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No description provided.
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AI powered spam detection
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No description provided.
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Kong plugin: intelligent LLM routing by task complexity using TypeSafe Jev
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PAC-MAN x JEV - Classic Pac-Man with TypeSafe JEV AI integration
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a decision based LLM routing engine
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A tiny zero-dependency tool selector: "which tool?" as a typed decision with a confidence — ~1 ms on CPU, no LLM call.
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No description provided.
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JevLand - Jev 非官方中文社区 https://jevland.com
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No description provided.
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llm task를 jev로 개선
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Jev (TypeSafe System One) 教程与使用指南
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Playground to try jev
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