
GitHubSecurity and abuse
Jev Moderation Bot
A Discord moderation bot with Jev making the calls.
Brainstormity
48Updated Nov 10, 2026
855 projects, posts and guides about Jev, the System One model from TypeSafe AI. Each entry links to its source and shows the cost and speed its author reported.

Diogo Almeida
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution

GitHubSecurity and abuse
A Discord moderation bot with Jev making the calls.
Brainstormity
48
GitHubSecurity and abuse
Moderation with a probability per category and thresholds you set.
Omar Hernandez
1

Our guidemadewithjev.com
The MCP servers that put Jev inside Claude Code, Cursor and Codex, so an agent can ask for a typed judgment as a tool call. Each one linked, with what it exposes.

GitHubSEO and GEO
An agent-first SEO and GEO CLI in Rust, with DuckDuckGo and Jev.
Akash Priyadarshi

GitHubSDKs and integrations
A shell CLI for agents: pick, rate, check, rank, triage and guard.
Nicholas Underwood
27
GitHubSDKs and integrations
A typed judgment CLI: questions in, answers and exit codes out.
model-clis
0unicode
@unicodef1wn

Guidex.com
unicode’s 12-step roadmap for a self-managing company: the Grok Bot marketplace supplies the workers, and Jev answers the five forks between them — who goes next, is the research good enough, continue or stop, is it done, does this need a person.

GitHubBenchmarks and evals
A Python toolkit: question builders, confidence gates and calibration.
Daniel Ari Friedman
7

GitHubTools and apps
110 use cases, games and dilemmas, with editable prompts and A/B tests.
Val Alexander
110
Our guidemadewithjev.com
Copy-paste Jev prompts for coding agents: route models with Jev Router, find wasted tokens, gate tool calls and budgets, and check drafts before they ship. Setup for Claude Code, Cursor, Codex and more.

GitHubAgents and browsers
Browser automation where an LLM plans and Jev decides.
Ying-Kai Liao
122
GitHubAgents and browsers
One Jev and Playwright core behind a typed SDK, a CLI and an MCP server.
Tomohiko Hiraki
10
GitHubAgents and browsers
Jev picks each action; an LLM plans; every claim cites the page.
Agent Labs
120Hassan
@nutlope

Guidex.com
Together AI fine-tunes a Jev-like classifier on Qwen3.5 4B: about 38,000 questions sampled from eight public datasets, roughly 25 minutes of training, and the tev1 repository that runs it. The $17 is the training job, not the system around it.

GitHubAgents and browsers
Browser use for coding agents, with Jev deciding each step in ~300 ms.
Brian Kim
4~300 ms
GitHubAgents and browsers
Claude thinks, Jev reacts: browser tasks at about 100 ms a decision.
MirkoSonio
0~100 ms
GitHubAgents and browsers
A speed layer for computer use: one Jev decision per step.
Hitakshi Arora
0
Our guidemadewithjev.com
An agentic harness where the model proposes and Jev decides, with a receipt per step: 6 published builds, a batched router on a latency deadline, and the rule check that runs in 348 ms.



GitHubAgents and browsers
A decision layer for agents: MCP server, library and Claude Code plugin.
Brainwires
24GREG ISENBERG
@gregisenberg
Jev is HERE and this is the CLEAREST explanation of what it is and what NEW businesses it unlocks. (and at the end I'll tell you how to get Jev even if you're on the waitlist) WHAT IT IS You know how you open your inbox and have to decide what's junk, what needs a reply, and what can wait? Jev does that part. It looks at each thing and says "this is junk, I'm 94% sure." It doesn't write anything back to you. It just sorts. 1,700 emails for 18 cents, instantly. That sounds kinda trivial but the important part WHAT IT UNLOCKS My explanation of Jev sounds small until you realize HOW MANY jobs are exactly this. Someone reading a stack of applications. Someone deciding which support ticket goes to which team. Someone looking at inbound and deciding who's worth calling back. A few ideas on what it unlocks: 1/ Instant quotes that are actually instant. Every quote form on the internet says "we'll email you by end of day." Build the version that answers in under a second, for roofers, movers, insurance, legal intake. 2/ Lead scoring as a product. Every agency and service business has a contact form full of junk. Score every submission and send the real ones straight to the owner's phone. 3/ Support triage for companies with no support team. The ticket gets classified and routed before anyone opens it. 4/ Clipping tools. Pass in a transcript, get the best moments scored in three seconds. Every clipping product just got a cheaper engine. 5/ Application piles. Grants, permits, insurance claims, job apps, loan docs. Someone reads that stack one item at a time today. 6/ Marketplace matching. Someone types what they need and gets matched to the right local business instantly instead of waiting for callbacks. 7/ Browser agents that actually move FAST. That makes bulk browser work practical: pulling quotes from five carriers, filing the same form for 200 clients, checking supplier inventory in real time etc. TLDR; find an expensive queue and put Jev at the front of it. HOW TO GET IT I didn't realize you can skip the waitlist because Jev is live on the Vercel AI Gateway right now, so you can start calling it today. In this episode, we share how. Episode now live on @startupideaspod (thanks to @ryanvogel for coming on and spilling the sauce today) Watch: https://www.youtube.com/watch?v=4mTLpuQpB80 Jev is a big deal because this is a whole new way to do AI Really cool Happy Jev day.
Guidex.com
Greg Isenberg: find an expensive queue and put Jev at the front of it. Seven ideas, from instant quotes to lead scoring, plus a Startup Ideas Pod episode with Ryan Vogel.

GitHubAgents and browsers
Checks every side-effecting tool call against what you asked for.
Bowen Xu
13
GitHubContext and memory
Automatic context clearing for Pi, without losing the conversation.
Nour
4
GitHubContext and memory
A context curator for the Pi agent, built on Jev.
Shashank H
7
Our guidemadewithjev.com
Who goes next, is this good enough, should we retry, when does a person step in. Grok Bot ships the workers; a Jev router answers the fork. The three shapes it takes, and where the evidence stops.

GitHubContext and memory
A Codex plugin where Jev trims bulky tool results.
Konstantinos Botonakis
6
GitHubRouting and model choice
Jev selects the developer tools; Codex writes the code.
Mihajlo Micic
2
GitHubRouting and model choice
An MCP server so coding agents stop spending tokens on small choices.
Ravinder Poonia
3
Guidedocs.typesafe.ai
The three question types, Choice, Score and Noul, in one support-ticket example.

GitHubAgents and browsers
An MCP server that puts Jev on the coding loop in Cursor and Codex.
burnigtm
63