Jev SDKs, CLIs and MCP servers

Marcel Pociot 🧪

@marcelpociot

I built a browser extension with Jev @typesafeai that can hide/collapse posts on X based on natural language. It's so fast that it's not noticeable and insanely cheap...this must be the future of "ad blockers" and content firewalls.

Meet Shukla

@meetshukla_

i’m probably going to regret this. 10,000+ videos were imported by our users into Ghostfeed in last 6 months. this weekend, we picked 1,066 reaction videos and analysed all of them with JEV + GEMINI. now you can search by structure, reaction, and who’s on camera. opening the library today which has been our months of data gathering, clone all videos to mass publish them on instagram, tiktok and youtube. comment "reactions" if you want the access to the library.

Cline

@cline

We built a plugin that gives Jev a browser in Cline, and have been blown away by the results. 1. Install it in our new desktop app: Customize > Marketplace > Plugins > search 'jev-browser' 2. Create a Vercel AI Gateway API key, then save it to ~/.cline/plugins/cline-jev-browser.config.json as {"gateway": {"apiKey": "..."}} and restart Cline. 3. Ask any browser task and it will launch Chrome in the background to complete it.

Sarah Drasner

@sarah_edo

🎇 I made a small Chrome extension: a side panel that drives any site's WebMCP tools with Jev! When you type, on every keystroke it picks the relevant page's tool, fills in the arguments, and tells you how sure it is. Here it is grocery shopping:

tamara

@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

Zachi

@iam_zachi

I think I just cooked something 🔥 jev(): a PostgreSQL extension that searches your whole database in natural language. No index, no embeddings, just one function. WHERE jev(people, 'could work from home') or WHERE jev(people, 'name sounds european') 129 rows judged in ~1s for $0.0009. Second run: 6ms from cache.

Niaz Morshed

@niazmorshed_

built `jev-review` @typesafeai it's an experimental, local-first MCP plugin that gives coding agents a score quality feedback loop across different metrics. agents call jev while they work, get scored, make improvements, and repeat the loop try below 👇

ILIAS ISM

@illyism

Now using @typesafeai Jev in http://aiseotracker.com, http://linkdr.com, http://genppt.com, etc AI ends up vibe coding so much AI regex slop if you don't read the code, so I can finally move all this hard-coding to Jev and it's insanely fast! Also for regular LLM calls, it is around 10x faster, 50% cheaper

RaZaan

@razaanstha

I built a Chrome extension for agentic browsing using Jev by @typesafeai, fx.sh including AI Gateway by @vercel. Now agents can browse, click, and interact with websites directly in your browser. Cost effective and fassst. Decision-making by Jev.

Eric Zhang

@ekzhang1

Inspired by @typesafeai , here is a Jev-compatible public API to play with It runs a comparable open model (Qwen3.6-35B-A3B), and just uses SGLang radix cache to preserve the prefill reuse / really fast parallel systemone generation - 64 tasks in <1s. github.com/ekzhang/openje…

Eugene Cheah - AI builder @ 🇸🇬|🇺🇸

@picocreator

love jev, but upset it - isn't open source? - it lack vision capability? We fixed all of that, introducing SimpleJev.ai A fully open source library which takes any HF model and Jev-ify it, with an API endpoint Now on github, and live in production at @FeatherlessAI

Hamilton Ulmer

@hamiltonulmer

I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier game-changing for data analysis!

Peter Wang

@the_cyw

I made a chrome extension to label all the X posts on my timeline. It tells me if each post is clean, engagement bait, promo, secondhand or filler. $0.03 for 1000 posts. Open sourced if you want to try it out.

ares. 🎧

@aresotik

ESTA HERRAMIENTA ACABA DE ROMPER TODO EL MERCADO DEL AD SPY Maxfusion ha cogido JEV, el modelo nuevo de TypeSafe, y le ha metido la ad library entera de una marca → 1.891 anuncios clasificados → 19 segundos → 0,12 $ Y no es un resumen: cada anuncio etiquetado por etapa del funnel y estilo creativo, más la radiografía completa de la cuenta Llega pronto al MCP de maxfusion

Ranjan

@manofsteel3129

built askjev on typesafe jev for all-site navigation with claude you talk to claude in plain english and askjev runs your real browser on any site. jev decides every next click — open pages, switch tabs, scroll feeds, fill forms, run multi-step goals without you babysitting the DOM. mcp server + chrome/brave extension. auto-connect once, then stay in chat while the browser moves. claude handles the conversation. jev handles the decision on each step. askjev is the hands on the web. install: load the extension → paste your typesafe key → auto-connect → restart claude → talk example: use askjev, open http://x.com and scroll my feed and find the best posts http://github.com/ranjan2829/AskJev npx -y askjev-mcp

Kun Chen

@kunchenguid

almost every day i hear people ask "when should i /compact my session" there's no easy answer because it depends on how likely your future action will need detailed context in the existing window but we have Jev now! introducing compact-adviser - an agent plugin you can use in claude and pi today to help determine whether you're likely at a task boundary that's safe to compact https://github.com/kunchenguid/compact-adviser i built a private eval set from 40 real sessions and manually labeled all the safe vs unsafe checkpoints to evaluate this, and hillclimbed the Jev prompt till it performed quite well i also made it so that the classifier will - optimize for precision (not triggering a compaction prematurely) when context window is small - and gradually shift to optimize for recall (not missing an opportunity to compact) when context window fills up, because the cost of not compacting becomes higher, and at the end the agent will be forced to compact anyway it supports a "hint" mode (just give you a hint and it's up to you to run /compact) vs "auto" mode which runs compaction whenever Jev says it's safe to do so if you have Jev and want to put your compaction on autopilot, try this out and let me know how it goes! support for more harness is coming soon as well

ギガビット@ゲームつくるひと

@gigabit_million

これGoogle検索でいいのではと思いながら作ってたけど、Chrome拡張機能でJevで意図で検索できるの作ってる人がかなりいたみたいでJevはGoogle検索より良いケースあるみたい。Jevのユースケースとして良いやつだった

Vintuxai

@vintuxai

Stop settling for mediocre AI outputs. 🤖 Introducing slop-grader: The new Jev-AI CLI tool designed to audit text against your specific rulesets. It’s time to take control of the "slop." 🛠️ Here is the breakdown 🧵 #AITools #ProductivityAI

Utkarsh Upadhyay ⚒️

@utk2103

just shipped jev-studio v0.2.0 @typesafeai Jev in one pip install - MCP tools for Choice / Noul / Score - `jev` CLI now with dry-run provenance - ready-made prompt libraries + slash commands for every cookbook - Claude Code + Codex plugin manifests pip install jev-studio

同語 Jackson

@t0ng7u

Jev is live in New API now! Choice. Score. Noul. Structured judgments that drop straight into code. Same TypeSafe SDK. Point it at your New API gateway. One plugin. No rewrite. newapi.pro/zh/plugins

AMIT RAWAT

@sahajamit

I built a Chrome extension that judges every post in my feed before I reach it. READ, MAYBE or SKIP, in about 300 ms, using Jev by @typesafeai. No scripted rules, no selectors, no LLM. Real time, my X feed:

Alex Volkov

@altryne

This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be amazed Use this prompt ``` Install, and configure : https://github.com/tamaratran/fast-jev-compaction ```

Vaishnavi

@_vmlops

Someone built a way to run Jev on Cloud Run with an RTX PRO 6000. ~47s cold start. ~117ms end-to-end. 100+ req/s at concurrency 32. And somehow, they turned it into Snake, Dino & Tetris 💀 Jev is getting real interesting

Pydantic

@pydantic

Whichever new model has you most excited, Pydantic AI has you covered. Claude Opus 5.5 from @AnthropicAI and GPT-6 Sol and Luna from @OpenAI, supported on launch day. And Jev from @typesafeai, not even a week old. Upgrade, then change one string. github.com/pydantic/pydan…

B.AI

@BAI_AGI

📢 TypeSafe AI · Jev Is Now Live on http://B.AI API As the first System One model from @typesafeai, Jev is built for fast, structured decisions inside software. It does not generate text: send app state plus a typed question, and get a typed decision with probability and confidence—no JSON prompting, no output parsing. It evaluates Choice, Score, and Noul questions in parallel, responds in about 70–500ms, and costs $0.042 per million input tokens (output free), making it a fit for ticket routing, moderation, risk scoring, and agent branching. Now available on the http://B.AI API (access via Jev-1.13.0 or Jev-Latest)! 👉 Try now: https://chat.b.ai/chat 🔗 Learn more: https://docs.b.ai/llmservice/models/jev-1.13.0/

mindshub

@MindsHub

Jev, TypeSafe’s decision model, joins MindsHub's free tier. API docs: docs.mindshub.ai/inference/deci…

Chris Goldammer

@floor_per_area

Technical idea, just brainstorming: Make chat responses 10x faster using Jev and pre-structured SQL. Any idea if this could work?

Eric Yang

@ericjingyang

In Silicon Valley, Jian Yang built the Not Hotdog app. A decade later, his bro has finally continued the family business. The Not Slop extension, detects LinkedIn and X slop as you scroll, powered by Jev. Every generation gets the classifier it deserves.

Alex

@AlexanderTw33ts

Jev is 9.5 hours into his 10 hour livestream and his question api has 16 paying customers chatwithjev.com

kayato

@_kayato

Jev使ってネタバレ防止のChromeアドオン作ってみた。 例） ガンダムシリーズの投稿は見たいけど、閃光のハサウェイの新作のネタバレは見たくないというシチュエーションでのデモ 結構いい感じに動いてる…！これなら不意打ちのネタバレくらわないのでは…！ @typesafeai #Jev

delost

@thedelost

Jev has been blowing up lately. If you already have API access but don't know where to start, just copy this checklist: 1. jev-browser Drives a real headless browser through MCP, CLI or a library. Jev picks one action per step from the page's clickable and typeable elements, and scores whether the goal is met or the run is stuck. https://github.com/jkudish/jev-browser 2. jev-browser-agent Per-step browser decisions at about a second. One request asks "which operation" and "which target" together, and confidence under 0.6 escalates to a bigger model or to you. https://github.com/smartdio/jev-browser-agent 3. typesafe-jev-bridge Zero-dependency OpenAI-compatible bridge. Use typed yes/no, choice and score judgments from Claude Code, Cursor, Cline or any OpenAI SDK, over CLI or HTTP. https://github.com/RevocGG/typesafe-jev-bridge 4. pilot-typesafeai-jev Jev inside LangGraph and Deep Agents. One request asks three questions, plain code picks the route, and only the winning route spends chat model tokens. https://github.com/jyje/pilot-typesafeai-jev 5. building-with-jev-skill An agent skill for writing programs that call Jev: question design, state structure, thresholds, and how to diagnose a question that answers wrong. https://github.com/dbreunig/building-with-jev-skill 6. jev-skill Guided setup plus evaluation workflows, with a read-only presence check and no silent provider switches or fabricated probabilities. https://github.com/wuyoscar/jev-skill 7. awesome-jev Source-backed catalogue of what people actually shipped, sorted by category, with limitations noted per entry. https://github.com/yibie/awesome-jev 8. awesome-typesafe-jev Field guide with SDKs, live demos, agent tools and independent evaluations, including where the vendor numbers came from. https://github.com/AbdelStark/awesome-typesafe-jev 9. awesome-jev-by-typesafe Evidence-backed use cases, patterns and starter code, with the 70 to 500 ms latency claim marked as vendor-reported. https://github.com/Anil-matcha/awesome-jev-by-typesafe 10. awesome-jev (cobanov) The widest catalogue right now: SDKs in Go, Java and JS, MCP connectors, guardrail experiments and studies. https://github.com/cobanov/awesome-jev Copy these complete Jev blueprints - then read the full Jev setup below ↓