Tools & apps

Every code file in a pull request, judged against Uncle Bob's Clean Code by TypeSafe's Jev, then reviewed by Luna. Built on eve and Next.js.

Typed System One decisions, ranking, verification, and an opt-in Hermes tool gate using TypeSafe Jev.

Verbatim Jev-scored context reduction for omp, over TypeSafe or OpenRouter.

Prompt-injection and dangerous-action guard for coding agents (Claude Code, Codex, pi, ACP), powered by Jev.

Configurable semantic linting powered by Jev, with file-level NOUL judgments and a magic-strings plugin.

A claude code plugin for jev.

Command-line tool for TypeSafe's Jev AI model.

Grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line.

Scans a codebase for covert, deceptive, or data-stealing behavior with Jev, then reports suspicious files and line ranges before the user runs it.

Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell.

Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into Compozy.

MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client.

Proof of concept MCP for Typesafe's new Jev AI model.

Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.

A staged code-review workflow and local dashboard built with TypeSafe Jev.

Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim.

Jev adapter to Mellea.

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

Home Assistant integration for TypeSafe Jev. Ask a question about your house and get a probability, a choice or a score as an entity.

Fish-style zsh history autosuggestions ranked by Jev (TypeSafe).

Ask your Postgres tables questions in plain language. A PostgreSQL extension powered by TypeSafe's Jev.

Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.

Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.

Open, Jev-compatible System One decision server on DiffusionGemma.

An integration with jev by typesafe.ai in Rust.

Rust client for the TypeSafe System One API (Jev).

PHP & Laravel SDK for TypeSafe AI's JEV Model series.

Unofficial Go client for TypeSafe's System One API and its model, Jev.

Async Python client for TypeSafe Jev. Typed questions in, probabilities and choices out, no prose to parse.

Go client for TypeSafe AI's System One API (Jev), with optional Langfuse instrumentation.

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

Dependency-free Swift 6 client for Jev Choice, Score, and Noul questions, with strict concurrency, retries, and offline transport tests.

Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text.

A small, extensible decision-to-action harness for TypeSafe Jev.

Agent-first Haskell DSL for TypeSafe's Jev judgment model: typed packets, inferred types, answers under the same labels.

TypeSafe Jev for OTP: reply to Jev from a GenServer and pattern match on its answer.

A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.

I taught SQL to ask questions using jev: SELECT * FROM tickets WHERE jev_bool(body, 'Is this customer angry?') No embeddings. No keyword list. No LLM writing SQL. jevsql: natural-language predicates, a typed control plane that never lets an LLM touch your data... @typesafeai https://t.co/JtqOsiYoIl

made a color palette generator using jev, because why not? given the input, jev returns probabilities over ten hue families, scores for warmth / light / energy, and a font pick. code maps that onto oklch and paints the page. https://t.co/lAe0TlYKdz

Every company writes copy rules. Nobody enforces them after launch week. So I made the reviewer that never gets tired. It reads your marketing site on every PR and names each sentence that makes a claim with no evidence beside it. It's using Jev from @typesafeai It doesn't know your facts. It knows what a claim without proof looks like. https://t.co/bHrzAWVicC @MParakhin don't hate me