GitHubBenchmarks and evals
jev-design
A console whose design system is chosen by Jev at runtime.
Gonzalo Bilune
57Updated Nov 10, 2026
The newest builds with Jev
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.
- 855builds
- 181guides
- 21use cases
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
Newest first, 797–830 of 1072. All 1072 in curated order
Guidenews.ycombinator.com
Blink: a Jev-like decision model for C and WASM
A Show HN for Blink, a high-performance Jev-like decision model written for C and WebAssembly.
GitHubContext and memory
perfectrecall
Agent memory where Jev decides what is worth recalling.
Arslan R.
3
GitHubBenchmarks and evals
JevGuard
A decision runtime with zero-token caching and a calibrator.
Seb4Ez
0
GitHubAgents and browsers
jev-cua
A local computer-use fast path for Codex and Waku.
Eronmonsele Aigbiluese
0Guideyoutube.com/@KevBuildsApps
Jev + Claude + Obsidian Just Changed AI Forever (Full Setup)
Kev Builds Apps wires Jev into an Obsidian vault over MCP: store the media and its metadata in the graph, then ask Jev to retrieve the logo, video or file a task needs instead of guessing.
GitHubRobotics and devices
home-assistant-typesafe
Home Assistant routes what you said through Jev, not an LLM.
Allen Porter
2
GitHubCoding and code review
The Jev-enator
Three Claude Code hooks that each ask Jev a question.
Jake Reardon
0
delost
@thedelost
this is pure f*cking treasure 10 GitHub projects that put Jev between your agent and every decision your agent should stop paying a frontier model to answer yes or no ROUTE THE WORK 01 jev-router > https://github.com/gargpratyush/jev-router 02 jcm-router > https://github.com/adarshmishra07/jcm-router 03 jev-agent-skill-router > https://github.com/GodsBoy/jev-agent-skill-router GUARD EVERY ACTION 04 pi-heed > https://github.com/Nyarlathoteppppp/pi-heed 05 fx > https://github.com/vercel-labs/fx 06 Foreman > https://github.com/thruwire/foreman SCORE WHAT MATTERS 07 LlamaIndex Jev > https://github.com/WiktorB2004/llama-index-jev 08 citation-verifier > https://github.com/MarissaFamularo/citation-verifier PUT IT TO WORK 09 yoshi > https://github.com/compozy/yoshi 10 mastra-jev-moderation > https://github.com/CodeAlive-AI/mastra-jev-moderation the loop: your agent hits a fork > Jev answers with a probability > your code decides what that number allows > the agent moves on 3 builds I'd explore: coding agent: jev-router > fx > Foreman > yoshi support desk: jev-agent-skill-router > mastra-jev-moderation > LlamaIndex Jev research: jcm-router > pi-heed > citation-verifier save this, then build a decision layer for your agents ⭣
Guidex.com
10 GitHub projects that put Jev between your agent and every decision
delost's list of ten repos, grouped as route the work, guard every action, score what matters and put it to work, with three suggested stacks for coding, support and research agents.
GitHubCoding and code review
jev-turn-analysis
Reads a finished coding session and judges each turn.
Zach Hobbs
0
GitHubSecurity and abuse
UXRay
A screen overlay that flags manipulative interface patterns.
Mohammad Zohaib
0
GitHubGames and real time
typesafe-jev-dojo
A graphical dojo: routing, Tetris, swarms and a gauntlet.
LaFollett Labs
0
MIKE
@mikenevermiss
Jev is brand new and there's no tutorial for it yet. so I wrote the prompt that makes Claude read the docs, pick one real use case, and build the agent. it's a runnable code, added failure handling, and a rule for when Claude takes over. paste it in and try it.
Guidex.com
A prompt that makes Claude build your first Jev agent
MIKE's prompt has Claude read the Jev docs, pick one real use case and build a runnable agent, with failure handling and a rule for when Claude takes over.
GitHubSales and leads
clay-jev-people-ranker
Lead scoring in Clay, ranked by Jev instead of a prompt.
PromptGTM
3
GitHubTrading and markets
fedjev-bench
Does Jev hear a rate rise coming in an FOMC statement?
maybern-tripp-smith
1
GitHubBenchmarks and evals
jev-acento
A pre-registered audit of how Jev handles Spanish.
Marcos Martinez
0
darkzodchi
@zodchiii
Send this Jev prompt to Opus 5.5 or any AI agent it installs Jev → audits your workflow → finds where you waste tokens, time and money then moves repeatable decisions out of expensive Opus calls → upgrading your AI stack beyond 95% of people Copy this now. Thank me later
Guidex.com
A prompt that audits your workflow for Jev
darkzodchi's prompt for Opus 5.5 or any agent: install Jev, audit the workflow for wasted tokens, time and money, then move repeatable decisions out of expensive calls.
GitHubGames and real time
A leveling agent that gets cheaper as it runs
A guide-directed WoW agent designed to spend less the longer it plays.
chalkychalk42
0
Matthew Berman
@TheMattBerman
jev KILLED the focus group. it scrolled 723 ads as 30 buyer personalities 21,690 stop or scroll decisions. 22 cents. (will be avail in @StealAds + mcp)
Sabrina
@sabrinaesaquino
Jev is now live on the Venice API. Watch it classify 24,000 Hacker News posts into 12 categories in about 2 minutes
NO1ennn
@N01ennn
x.com/i/article/2103…
Guidex.com
Jev in the Agent Loop: A Complete Guide to Decision-Layer Automation
N01ennn's long guide: mark the decisions in an agent loop, move them off the frontier model, and measure the result. Its best part is the arithmetic for why routing down and back up can cost more than never routing.
Marcus Lowe
@marcus_lowe
what if copy/paste was smart? powered by @typesafeai jev it feels like every computer interaction will get rewritten
XTools and apps
Copy and paste, with a decision in between
codila
@0xCodila
Jev + GrokBot is the best AI agent system I’ve built in my life It just made my setup CHEAPER and FASTER than what 95% of people are running... setup takes literally 7 minutes: prompt → GrokBot → Jev decision → GrokBot execution → result step 1 → open @typesafeai , create API key (keep it off chat paste) step 2 → tell Grok Bot: store TYPESAFE_API_KEY in the secure field step 3 → prompt Grok Bot: install typesafe-sdk on Agent Computer + smoke system_one (Choice) step 4 → tell Grok Bot: build the usage lab (router, dry-run, config, logs) - or clone Github below step 5 → add skill jev-usage-router: before browser / research / retry / extra bot → call the router, honor action step 6 → stay shadow first, read logs, then active when you trust it - kill switch: bypass jev or enabled: false step 7 → flip active: GrokBot obeys route - Jev decides - GrokBot executes - humans control irreversible actions the result: Jev + GrokBot the best and fastest agent running directly on your computer rn, I’ve already tested it on routine tasks - and the results are genuinely incredible You can come up with endless ways to use Jev + GrokBot - but the most important thing is to install it as soon as possible Copy this 2028 setup, explore my repo below - then read the full Jev deep dive ↓
XRouting and model choice
A usage router for Grok Bot
Justine Moore
@venturetwins
Jev can serve as better natural language search on websites. It can scan thousands of Zillow listings and classify properties by things you can't normally filter for - e.g. architecture, renovation status, proximity to freeways. This was done in <20 sec and costs $0.18 👇
Gipp 🦅
@gippp69
x.com/i/article/2103…
Guidex.com
Jev Desk: How to Build a 24/7 AI Agent That Decides for Free and Only Pays to Write
Gipp prices a four-lane event desk and shows where the bill ends up: in the share of events that go to a writing model. Includes an audit lane for the ignored events and a daily bill script. The bill figures are assumed rates, not invoices.
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.
XAgents and browsers
jev-browser in Cline
Cua
@trycua
1/ Introducing CUA-S1: a family of System One Models, small, specialized, and built for computer use. Today we're open-sourcing CUA-S1-FORMS, the first in the family: github.com/trycua/cua
Ira Bodnar
@irabukht
Jev killed 7 more SEO/GEO workflows 👇 1/ Assess which competitor pages to copy -> It scores every competitor page on answer, depth, proof and freshness, then checks its rank in Google and ChatGPT to show which ones are worth copying 2/ Identify which page elements to change to get cited -> It reads the title, meta, H1, FAQ and schema on every page and returns keep or change for each, with a confidence score 3/ Check if your pages answer what people ask AI -> It matches real buyer questions to your best page, which shows the questions you have no page for and who AI cites instead 4/ Rate how likely each page is to get cited -> Every URL gets a citation chance and the first fix to make, like adding a compare table 5/ Sort search terms -> It asks "is this query from a buyer?" across the full Search Console export, so you write only for terms that convert 6/ Build the internal link map -> For every page it checks the 15 closest candidates and links only the ones with an honest reason 7/ Verify AI-written pages -> Each draft goes through 20 yes/no checks, and only the ones that pass reach a human Available in the Ryze AI app and MCP/Claude Connector, link in the 1st comment 👇
Erik Spock Gafni (hiring!)
@EGafni
my personal faves are: AutoResearch for Feature Extraction Use LLMs to generate Jev questions's who's probabilities are fed into a classic ML algorithm like logistic regression to predict a label. Hierarchical Classification Traverse a classification taxonomy using Jev and beam sesarch. Jev is great for graph traversal.
Guidex.com
Two favourite Jev patterns: AutoResearch features and hierarchical classification
Erik Gafni of TypeSafe names his favourites from the cookbooks. AutoResearch for feature extraction: an LLM writes Jev questions, and their probabilities feed a classic algorithm such as logistic regression to predict a label. Hierarchical classification: traverse a taxonomy with Jev.
Marc Köhlbrugge
@marckohlbrugge
Using Jev to filter through my @wip todos It allows me to super quickly find all the instances where I increased revenue, got stuck, switched to a different SaaS provider, etc Things a regular keyword search would never catch
jaffa
@dsqjaffa
today i'm releasing Jev for content marketing. still doomscrolling to figure out what to post on social media? that's over now... Jev watches EVERY video in your niche and judges it before it ever reaches you: 1. research: pulls every video in your niche from a database of 12.8M viral videos 2. analyze: Jev watches, studies, and judges each one, the hooks, the formats, the angles, and why they worked 3. create: turns it into a data-backed script, based on proven winners (via Claude) no more guessing on TikTok & Instagram currently available for free in @virlomain + MCP. link below ↓
The newest Jev builds, by the day they were added
Same directory, different order: the entries added most recently, rather than the curated order the home page opens in. The date on a card is the day it was added here, not the day its author published it — this directory is newer than most of the work in it.