A contextual brand-suitability scorer that judges each feed item against an advertiser's own versioned policy, returning a category, an exclusion flag, and a confidence for routing borderline items to review.
A ComfyUI node pack that branches a generation workflow on a plain-English question such as whether an image is too graphic for kids, running locally on Laya by default or Jev on a dropdown switch.
A multimodal decision model on Workers AI that takes text, images, audio, or video in one request and returns schema-constrained probabilities, built on a 30B mixture-of-experts backbone with about 3B parameters active.
Liquid AI's first decision model, a hosted API that adds image input to the Choice, Score, and Noul shape. Liquid reports it matching or beating GPT-6.1 Sol on four of six tested applications at 19x to 200x lower cost.
A Claude Code plugin that replaces the built-in auto-mode permission classifier with Jev, deciding tool calls in about half the time while agreeing with the original on the calls it handles.
The Hugging Face hub for Laya's open System 1 checkpoints: the 421M English model at the repo root, a 322M multilingual build in a subfolder, and the typed-decisions fine-tune, all Apache-2.0.
Superagent's security triage model: a continual fine-tune of AutoJev-27B that returns calibrated probabilities for prompt-injection and content checks, with a release policy at 0.70 unsafe.
An ultra-light Italian decision model: 400M Llama-based, a 465 MB Q8_0 GGUF, answering multiple choice with A–D tokens and booleans with TRUE/FALSE for edge and Rust use.
The official Laya playground: eight tabs that show choice, score, and noul decisions on ticket triage, phishing, guardrails, RAG filtering, moderation, routing, and multilingual text.
Chrome extension that adds user-defined topic and expression labels to Weibo, Threads and X posts. It uses Jev Noul judgments against per-platform dictionaries, up to 60 labels per platform, and sends post text and label rules directly to TypeSafe under your own API key.
Cloudflare Worker that asks Jev on Workers AI for literal profanity in text or usernames and, for usernames, a second Noul for phonetic or look-alike disguises. The threshold and max policy live in Worker code, with OpenAPI docs generated via chanfana and Hono.
An Apache-2.0 0.8B decision model that returns calibrated probabilities for yes/no, choice and score questions on CPU. Distributed as GGUF for llama.cpp and served behind a Jev-style /v1/systemone API, so existing Jev clients mostly need only a new base URL.
A bring-your-own-key Chrome extension that asks Jev one slop/not_slop Choice per X or LinkedIn post as it scrolls into view, then blurs and stamps anything at or above a configurable threshold. Scrolling never blocks, and each post is scored once from a local cache.
The first Chinese-language calibration benchmark for Jev-class System One decision models: 378 items and 467 questions across voice routing, e-commerce service and content moderation, with accuracy, ECE, Brier, NLL, AUROC, option-order and zh-CN/zh-TW robustness metrics.
MIT-licensed Chrome extension that asks Jev whether the page, video or post you are on serves your written goals -- a category Choice, a goals Noul and a 0-4 waste-of-time Score -- then blocks or blurs in code, tightening thresholds at 2, 10 and 20 minutes of engaged time.
Chinese-language research project for multimodal social-risk moderation: a local Qwen3-VL-32B with language-side LoRA emits structured evidence JSON, and a fixed Jev policy turns that evidence into risk bands, with frozen test leaderboards and pure-Jev ablations.
Python CLI that runs declarative YAML, JSON or JSONL test suites natively on Jev Noul, Choice and Score decisions for RAG faithfulness, hallucination detection and agent safety, with watch mode, parallel batching, a pytest plugin and GitHub Actions PR reporting.
Dependency-free Go 1.24+ client for Jev Noul, Choice, and Score questions: ChoiceOf[T] and ScoreOf[L] return the caller's own types and reject labels the question never offered, with validation before sending, retries that honor Retry-After, OpenRouter support, and eleven tested examples.
Jev-compatible decision models with vision input: LoRA fine-tunes of Qwen3.5 at 4B and 9B serving Choice, Score and Noul on the /v1/systemone wire format, with screenshots and photos placed beside text in the state. Runs on your own NVIDIA GPU; weights are non-commercial.
Cisco's security scanner for agent skills added a System One analyzer: it sends the full skill text to POST /v1/systemone as one advisory Noul question and records the probability, while being deliberately unable to emit a finding or change a severity.
A paper analyzing 2,170 public Jev projects on GitHub as of September 22, 2026. It maps how projects use Jev for attribute judgment, scoring, action selection, content filtering, and model and tool selection, and finds public attention concentrated in routing and interface projects rather than tracking project counts.
ggml's announcement that llama.cpp server supports decision models through a /v1/systemone endpoint: send a state and typed questions, get a probability per option from one forward pass. It lists six GGUF decision models from Julia-1 (144M) to OpenJev (27B) with single-question latencies.
Sean Brownell scores sample call transcripts in a harness, including a case where the agent reads out card details, and compares that pass with a frontier-model estimate.
Fifty runnable tev1 decision-model examples through local Ollama, from ticket triage and guardrails to six playable games, with a live request viewer and scoreboard.
Go moderation service that returns allow, review, or block with per-class reasons over HTTP or RabbitMQ, backed by Jev with a versioned JSON policy and bearer auth.
Python memory filter that judges every stored memory against the current request with one calibrated yes/no per memory in a single Jev request, keeping everything above a threshold.
Browser extension that filters your X timeline with a model you choose and pay for, using plain-language rules plus per-author and blocked-word controls.
Claude Code kit that guards PreToolUse calls with a free pre-filter plus one Jev question for ambiguous cases, and adds sub-agent sizing, rechecks, search, daemon speedups, and monitoring.
Design sampler that turns a one-line prompt into a canvas of full-page screens by asking Jev to pick among fixed shadcn layouts instead of writing code.
Single-command harness that turns a plain-language stack description into synced docs plus blocking hooks for Claude Code, Codex, and Pi, with deterministic presets or one Jev chooser call.
Self-hosted Google Apps Script that classifies Gmail by meaning with Jev Choice over your own dozen-label taxonomy, checking metadata first and full content only when confidence demands it.
Diff-aware test selector that sends the git diff to Jev with one question per test, then prints the native filter flags and hands them to vitest, jest, node, bun, Playwright, cargo, or go test.
Node CLI that lints a file tree against fuzzy natural-language rules in one Markdown file, judging each matched file with a swappable TypeSafe-backed judge.
Gateway-side admission control judging incoming requests with a typed decision model, layering cheap rules, synchronous judgment, and an async side path that never blocks responses.
Chrome extension that adds a second Twitch chat column showing only messages Jev rates as matching your chosen intent, with every row linked to its probability distribution.
Claude Code plugin that scores pending tool calls and finished answers with Jev noul probabilities, denying the call with the correction attached when a rule threshold is met.
Claude-driven browser automation where plain-English chat drives Brave or Chrome, Jev makes on-page decisions, and a guard freezes irreversible clicks.
Android noise gate that asks a model whether each notification or SMS is noise and suppresses only explicit flags. Uncertain paths fail open, verification codes never leave the device, and sender blacklists stay local.
Independent open-source agent runtime where Jev makes typed tool decisions, an LLM authors text only when needed and reviews low-confidence calls, and code owns execution.
macOS computer-use kit exposing an 18-tool stdio MCP server plus CLI that drives apps through the accessibility tree, posting input in the background without moving the user cursor.
Self-hosted trading intelligence platform pairing a Python scoring and risk engine with a Claude plus Jev analyst, where the analyst answers only through fetched data tools and the user confirms every action at their broker.
.NET SDK for the System One API with typed question sets, HttpClientFactory and dependency-injection wiring, plus Microsoft.Extensions.AI guardrail, routing, tool, and evaluator adapters.
A NativeAOT-ready .NET SDK generated from TypeSafe's OpenAPI definition, with typed question sets, batching, dependency injection, and Microsoft.Extensions.AI integrations.
A monorepo of roughly 20 latency-focused demos: moderation firehoses, rerankers, inbox triage, macOS launchers, and closed-loop control simulators, each with p50/p95 telemetry.
Most Jev accuracy problems are state problems. What belongs in a state, what is a pre-made judgment to leave out, and why naming the slice you ask about matters more than the wording.
A decision model cannot be talked into generating text, but the label is still a target. Why narrow, literal questions resist injection and why keeping the act in code is the real backstop.
Jev takes text only; Clef-omni adds image, audio, and video input and Liquid d1 adds images, each keeping the same typed-answer shape. Where that matters, where it does not, and the costs the vendors underplay.