Jev SDKs, CLIs and MCP servers

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 ↓

Georgios Konstantopoulos

@gakonst

We index, rank and curate paid services powered by MPP and x402 to achieve this. Mercator is the apex aggregator I wish I had when we first launched MPP. This works by a pipeline which took a lot of work to get done, and most recently got turbocharged by integrating Jev by @typesafeai (come see Diogo's talk at Frontiers!)! See how running your first job works: https://mercator.sh/docs#run-your-first-job

Kevin Dubois

@kevindubois

With all this hype around #Jev and open source derivatives like #Laya I wanted to see how these kinds of decision models would work in Agentic Workflows with #LangChain4j. (tl;dr it's pretty intuitive!) kevindubois.com/2026/09/23/rou…

Yurii Oksamytnyi

@YuriODev

🛡️ @LangChainAI shipped Jev as a tool-call gate and model router. Key detail: tool output is excluded from the classifier input, so fetched content can't authorise its own execution. Steal that rule. langchain.com/blog/building-…

OpenRouter

@OpenRouter

Introducing typesafe/jev-router: a cache-aware model router powered by Jev and @typesafeai The Jev Router picks the best model and reasoning effort for each request, balancing quality, speed, and cost. Here's how it works 👇🏻

Mastra

@mastra

Last week, we launched: 1/ Classifiers with Jev 2/ Jira, GitLab and incident.io integrations for Mastra Factory 3/ Memory hooks 4/ VPC-isolated Postgres for Mastra platform + a lot of smaller improvements.

dante (단테)

@wildseven77

Jev and Laya have been getting a lot of buzz lately. Can we use them in ComfyUI too? Yes. I built a node pack that branches a workflow on a plain-English question, like "Too graphic for kids?" Runs locally with Laya, or flip one dropdown to Jev. github.com/dante01yoon/Co…

Alok Bishoyi

@alokbishoyi97

Launching Decision models on @useRouterPlus. You can now use various system 1 decision models such as Jev, @perplexity_ai Decider, @bespokelabsai Nimble, Mercury Decide, Clef, Kev 4B and Decider 2B with 3 models free !! app.routerplus.com/playground

Obie Fernandez

@obie

Pour one out for @CompleteSkeptic. OpenAI, Cloudflare and Perplexity all have decision models now, and ruby_decision_model 0.2 talks to all of them, Jev included, through one Ruby client. Same support ticket, five models, results inside. x.com/i/article/2107…