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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

built using jev @typesafeai https://t.co/CaKowqwRqW

Proof of concept using Jev by @typesafeai to analyze image metadata and estimate how likely an image is to be AI-generated. Built with @laravel, @inertiajs, and @vuejs. Hosted on Laravel Cloud. Thinking of using it to screen photo competition entries. https://t.co/HskTF6u3to https://t.co/3qfC2SC7BB

I started using Jev as a tool call for our users on supercenter. And oh boy are they gonna love this. https://t.co/JXnhrZXogy

i built a website that ranks all 1,025 Pokémon by literally any question you type, using jev it thinks mimikyu is most performative https://t.co/F0qca4H84o

tenet using Jev is up to 275x cheaper and 104x faster than Claude agents 🤯 Same 2,000-line diff, same rules. tenet: 1.5 s, $0.0036. One Claude Fable 5.1 call: 157 s, $0.99. Your agent fixes its own review findings before you ever see the diff. https://t.co/Rr1BpU53ak

I built a real-time chat where Jev judges every message in before the room sees it. ❌ No keyword lists ✅ Rules are plain English ✅ Unsure? Held for a human Built with Jev (@typesafeai) + @convex + @vercel Try to break it 👇 https://t.co/P5HYDS6aJX https://t.co/gGWn6XmPaA

Built jevscan - a Chrome extension to detect malicious addresses and transactions on @etherscan in real-time using Jev from @typesafeai. https://t.co/gGgITyJgjT

Created a one-off Chrome extension to remove low quality posts (filtered using Jev) from Twitter, and posts with videos. Feed has become so much better.

Spent a day building tenet, a review gate for code that agents write. It judges each commit, commit message and PR against rules written in plain language, using Jev by @typesafeai. The rules come from @poteto's unslop skill, @hvpandya's stop-slop, @dillon_mulroy's anti-slop and @mattpocockuk's new /pr skill. It also generates rules from your AGENTS.md or CLAUDE.md, and you can write your own rules and presets. Here an agent trips four of them, gets blocked in 1.07 s for $0.0003, and fixes its own findings.

My first real experiment with Jev: project scorer. It takes the specs, source code, and graph (Graphify output) from a codebase, then analyzes them using Jev, Lizard, and Networkx to create project "quality metrics" based on a configurable rubric. https://t.co/lCryvd749u

i made a smart calculator notebook using jev it can calculate ANYTHING!! 😅 https://t.co/0kxyblZVjN

Controlling Figma with voice using Jev from @typesafeai Total cost from first line of code to recording this video: $0.01 🤯 https://t.co/HTGcrBYpTb

I made a Telegram plugin using Jev that warns if you're about to message an ex after a long time of not speaking. https://t.co/eH328cRCky

Using Jev to detect and classify a statement against 50 logical fallacies only takes a few hundred milliseconds and costs $0.000128 per 3k input token request. The response times make the UX feel instant! https://t.co/pwh2b7crGV

Guys I made an extension for LinkedIn using Jev from @typesafeai to remove anything it classified as ai-slop and this is what it left me - did it in under 200ms btw and only cost me a fraction of a penny. https://t.co/0falPlXy0N