Built with Robotics and games

clash-jev

A Clash Royale bot with no trained policy: Jev (TypeSafe System One) makes every decision from the live game state

35 ★ on GitHub

What it is

I got early access to Jev, TypeSafe AI's new System One model, and decided to play around with it. I built clash-jev, a bot that uses Jev to make near real-time decisions on live game data. It plays Clash Royale on a real Android device.

Getting started

From the README:

git clone https://github.com/bytelabs-oss/clash-jev.git && cd clash-jev
python3.12 -m venv .venv
.venv/bin/pip install -e ".[dev]"
cp .env.example .env          # then put your TYPESAFE_API_KEY in it

Where the decision sits

clash-jev calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.

Models it references: Jev.

How active it is

Created 2026-09-21, last pushed 2026-10-14, 35 stars and 11 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.

Find out what your data actually supports

We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.