Launches on September 17, 2026

Local proxy that picks the Claude model and effort per message using TypeSafe Jev. Routes subagents, leaves your cached main chat alone.

Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence

100 AI NPCs live in a tiny town. Jev chooses the next action; the world writes the story.

Fast structured Android control loops with TypeSafe Jev and Mobile MCP

Playing Pokemon Red using TypeSafe Jev

A small, fast prose linter: ruff-style rule codes for writing, backed by TypeSafe's Jev model

Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.

Calibrated tool selection and schema pruning for AI agents. Zero dependencies.

Independent async and blocking Rust SDK for the TypeSafe AI System One API

shadcn-style reusable components and blocks for using TypeSafe AI.

TypeSafe AI Jev judgments for Agent Zero, with typed tools and probability cards.

JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.

Community Go SDK for TypeSafe AI Jev / System One

Agent Skill: send closed coding-agent judgments to TypeSafe Jev

A show-and-tell capability study for Jev, TypeSafe's System One decision model.

A polished OpenAI + TypeSafe Jev terminal interface for answers with transparent decision reports

Challenge the Jev's intelligence in Rubik Cube puzzles

Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.

Scala 3 / ZIO client for the System One API: typed end-to-end, several questions per round-trip via NamedTuple.

Doom or Bloom: map your AI worldview and compare it to others.

Hybrid browser harness: an LLM turns goals into verifiable subgoals, Jev chooses each action and DOM field, Playwright acts.

A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.

Evidence-driven frontend QA built on Jev Ultrafast and Browser Harness, with a synthetic todo demo.

Helping JEV speak <3

Per-prompt capability router for coding agents: resolves installed skills, MCP servers, agents and commands against your prompt via TypeSafe Jev, and measures whether the injection actually helps.

Uses typeful jev, zero sync to pull and sync large repositories for issue triage

A Stop hook that stops your coding agent from stopping too early. Plain-language rules, judged by jev.

Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning.

A playground for experiments around Jev, TypeSafe's System One model.

DSH bundle that registers jev_ask for TypeSafe Jev noul, choice, and score answers.

Emoji autocomplete at the speed of typing. TypeSafe AI Jev on a Whop-hosted TanStack Start app.

Benchmarking Jev (Typesafe.ai) against a strong LLM on the Who&When Pro agent-failure-attribution benchmark (text subset).

CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out

Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code

Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.

Semantic MCP firewall powered by Jev — screens every tool call, tool result, and tool description with calibrated System One verification. 94% block recall, 0 false positives, ~$0.00002/check.

Jev adapter for Mellea

Minimal agent loop where Jev directs control flow and a LangChain chat model writes argument values and the final response.

Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers.

Unofficial Laravel integration for TypeSafe Jev AI with typed responses, async requests, scoped dependency injection, and testing fakes.

A pi extension that exposes TypeSafe (Jev, System One) judgments as five pi tools, so a model can make narrow semantic judgments while your code and your users keep control of thresholds, weights, and actions.

PiJev: a terminal coding agent with Jev in the loop — Jev ranks the repository's files before the first call, picks skills and triages failures; your coding model writes the code. Built on Pi.

Pydantic AI capabilities made stronger with Jev: small runnable demos, one file each

We ask Jev, TypeSafe AI's System One model, whether AI should kill us all. Every ten minutes. Using the actual headlines.

Shift every LLM call to the cheapest model that can handle it. Routing decided by TypeSafe Jev in ~180 ms. No training data. Policy in plain YAML. TypeScript and Python.

CLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and Noul judgments.

Claude Code mod that routes decisions to TypeSafe's Jev model: ranks installed skills per prompt, and answers the agent's own this-or-that questions when confident.

Route models and tools with TypeSafe

Swift SDK for TypeSafe AI

.NET SDK for the TypeSafe AI platform