Launches on September 19, 2026

A Battlesnake in Go where deterministic code owns tactics and a TypeSafe Jev classifier gets the judgment calls — with controls measuring whether that actually helped.

Generative art conducted by TypeSafe Jev: a mood phrase becomes typed art direction, and an obedience-chaos slider turns the model's probability distributions into controlled chance

Adversarial browser testing: personas explore your web app while Jev judges every page state

A personal judgment app for more thoughtful purchases, powered by TypeSafe Jev.

Does your model's confidence mean anything on your data? Calibration layer for typed probabilistic decisions — reliability, ECE, Brier, recalibration maps and cost-aware thresholds from decisions + outcomes.

A local second brain built on GBrain, with TypeSafe Jev for search ranking and page connections.

Use Jev to choice the cheapest llm model to have the better quality

TypeSafe Jev (System One) wired into Claude Code: a decision primitive for hooks, and the Skylence herdr agent-org with Jev measuring tier and review gates.

Instead of locking a whole session to one model, you pick Auto in the model picker — and for every turn, Codriver asks Jev (TypeSafe AI's non-generating "System One" decision model) which concrete model from your fleet fits THIS turn, then rewrites the message to that model before it is sent.

Reads a commit before a reviewer has to: whether the message matches the diff, whether the edits belong in one commit, and what the message leaves out. Built on TypeSafe's Jev.

the realtime sentiment analysis and context-aware backchanneling with Pipecat

JEV CV scorer / TypeSafe.ai

Jev-powered deal search engine with a chat frontend — semantic matching + offer eligibility by TypeSafe's Jev, all the money in plain code.

Basket — Snowplow grocery ecommerce demo with TypeSafe Jev purchase-intent classification

打字即设计的实时 UI 生成器。决策编排驱动：一次概率决策 → 20 个变体 → 纯函数渲染 HTML，全程不调用 LLM 生成文本。

Decision Graph Protocol (DGP) by Numerous ApS: open-source contracts for decision-based AI agents, TypeSafe Jev orchestration, guarded actions, and assessment batching.

Risk triage for large git diffs (CRAP + TypeSafe Jev) and a repository-wide dead-code scan for Python and JS/TS

A calibration audit of TypeSafe's Jev: does a decision model's stated confidence mean what it claims? 8,000 judgments against human annotations, $0.05.

A fast, screenshot-free Android emulator clicker powered by TypeSafe's jev

TypeSafe Jev (System One) judgment for DeepSeek Harness: model-visible tool, ctx service, and per-session tool gates

TypeSafe Jev System One semantic tool routing and typed decisions for DeepSeek Harness (DSH)

Industrial 2D irregular nesting engine with Superposition concurrency and TypeSafe Jev System One AI intelligence

Intelligent pixel cleanup.

A small, approval-first Pi tool for safe, checked code changes.

Atomic reasoning MCP server for LLMs and Jev — turns big questions into independently falsifiable claims.

AI-assisted email, calendar, tasks and documents: TypeSafe Jev gives typed, probability-backed judgments; LLMs draft (OpenAI-compatible APIs, local models via Ollama/LM Studio, Claude Code, Codex); you approve every action.

FirstScreen — paste a URL. Jev judges the first screen (TypeSafe System One).

Gibsey Lab explores Field Intelligence through QDPI: a laboratory for context assembly, literary navigation, and reader state. Using Jev for structured decisions and language models for interpretation and generation, it probes how passages become connected, how choices shape a reading, and how authored worlds become responsive, inspectable systems.

로컬 전용 Gmail 긴급도·광고·답변 필요 여부 분류 대시보드 · TypeSafe AI JEV

Tiny CLI that runs a GOAL.md until a verifier says done

A gomoku board any player can sit at — you, a search algorithm, a model, or an agent over MCP. Free-style and renju, bring your own key, every decision shown.

Jev (TypeSafe System One) x Hermes Agent - the calibrated decision-layer playbook: 5 end-to-end use cases, reference implementation, and a Hermes skill for 100x-cheaper structured AI judgments

Portable Jev-backed decision and control layer for Home Assistant

Demo en vivo de Harness Engineering (Chihuahua Tech Week 2026): la escalera del arnés — prompt → memoria → poder y límites — con Bun, Edge/Playwright, Nano-GPT y juicios de Jev.

Hermes Agent middleware using TypeSafe Jev for fail-open deterministic fast paths before LLM execution

Jev (TypeSafe AI) System One decision engine plugin for Hermes Agent, backed by Agnes AI Flash.

Standalone Hermes TypeSafe native plugin

How sure is Jev? Turn TypeSafe Jev probability outputs into one honest number, with graphs.

A universal user-context layer for platform operators using Jev and gemini on openrouter

MCP server for Jef, a model that decides instead of generating. Hosted, no key. A parody of TypeSafe AI's Jev.

A reproducible backtest of whether TypeSafe Jev can forecast BTC/USD and produce a tradable edge after fees, slippage, and holdout validation.

probing jev for efficiency and usable workflow dynamics

A learning scaffold for TypeSafe AI's System One models: eval harness plus a measured, plain-language comparison of the Jev decision model vs an LLM stand-in on 24 real operational decisions. All numbers reproducible from committed run files.

Confidence-gated browser action routing with TypeSafe Jev and agent-browser

Complete Jev and TypeSafe skill, API documentation, examples, evidence, and email application build brief for Codex

Free typed judgments for AI agents: offload classify/screen/score/verify to Jev (TypeSafe System One) via OpenCode Zen. Claude Code / ZCode skill. 给AI代理省token的免费决策分流技能

Bring-your-own-key CLI, Python API, and MCP server for typed judgments with TypeSafe Jev

Runtime-agnostic algorithms built on TypeSafe's Jev structured-evaluation model

Does the option name that sorts first win? A pre-registered experiment on key-name bias in TypeSafe's Jev choice endpoint, across 273 option sets.

A calibration arena for TypeSafe Jev: reliability, Brier/ECE, and confidence-gated risk-coverage on analytically-known random worlds.