when a designer gets access to Jev
Jev by use case
Realtime control
6 curated entries. Drive realtime, robotic, and simulation loops with per-step decisions.
By format
- Repos & sites3
- Playgrounds3
6 resources
33GitHub stars
A Clash Royale bot that turns a phone screenshot into JSON once a second and asks Jev for a strategy, a card, and a square.
Demos & Experiments#community#python#gaming
Community
bytelabs-oss/clash-jevPython
bytelabs-oss/clash-jevPython562GitHub stars
A Mineflayer agent for Minecraft Java 1.16.5 where a planner sets the objective and Jev picks the next bounded action from game observations.
Demos & Experiments#community#javascript#gaming
Community
rmalde/minecraft-agentJavaScript
rmalde/minecraft-agentJavaScriptA live 2048 board on an independent Jev site. Each move is one Choice over the four directions, with a decision counter, latency, and a running cost.
Demos & ExperimentsPlayground#community#games#playground
Community
A live Tetris board where each piece is one Jev Choice over the legal placements, with latency and cost shown as the pieces drop.
Demos & ExperimentsPlayground#community#games#playground
Community
A browser colony of mice, cats, traps, and food. Each animal's next move is judged by Jev, or by fixed rules when the model is turned off.
Demos & ExperimentsPlayground#community#games#playground
Community
57GitHub stars
An Apache-2.0 decision engine with a TypeSafe-compatible endpoint, document answers with source passages, and a ViZDoom demo that picks actions from structured game state.
Models & Reimplementations#community#python#local
Community
deepanwadhwa/OpenDecisionPython
deepanwadhwa/OpenDecisionPythonArticles
Original guides that go deeper on realtime control.
A game tick is a state plus a legal action list. How Clash Royale, Minecraft, and the earlier Mario, Pokémon, StarCraft, and drone loops ask Jev one step at a time.
Demos & Experiments#gaming#agents#control
Read article
Watch: Jev in action
Video walkthroughs and demos from the community.
YouTube: Maximilian Schwarzmüller on the new kind of model that beats LLMs in the areas it was built for.
YouTube: Albert Olgaard tests Jev and explains why System One models matter.
YouTube: Hunter Bohm on pricing, parallel decisions, whether Jev is actually new, and his own Astra plus Jev benchmark.
Discussions
Threads from Reddit and Hacker News about building with Jev.
Hacker News: Show HN: OpenDecision, a local decision model with a Doom demo.
dwa35926 pointsShow HN: OpenDecision – a 400M zero-shot model makes local decisions, plays DoomRead the thread on Hacker NewsHacker News: Show HN: Agent Chaperone screens tool calls and results with Jev before the agent sees them.
sepehrsafari5 pointsShow HN: Agent Chaperone – Screen AI agent tool calls and results with JevRead the thread on Hacker NewsHacker News: I turned Jev into a (lousy) chatbot
kp1197173 points · 49 commentsI turned Jev into a (lousy) chatbotRead the thread on Hacker NewsReddit: The docs and evals summarized on one page, caveats included.
From the community
Posts from builders shipping with Jev right now.
When a designer gets Jev
Full Jev video tutorial
Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor
The case against Jev-scored compaction
This is a terrible compaction strategy that fundamentally doesn't understand how compaction and context management work. Seems like a lot of people are confused so let's break this down. 1. Compaction isn't a filter The role of compaction is to clean up history to keep the Show more
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
Classifying rows in DuckDB
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!
A playable 16-judgment demo
typesafe's jev is fun! live demo you can play with: typesafe-demo.val.run
AI multiple choice, not essay writing
WTF is Jev by @typesafeai? Here’s the tl;dr ELI5: Think AI multiple choice, not AI essay writing. It doesn’t chat. It makes decisions your software can act on: “Spam or not?” “Which tool should this agent use?” “Does this need a human?” The exciting part: roughly 200x faster Show more