If I understand correctly, it can play chess and rubic cube better than LLM ? ( may be go too ? )
You play White, and Jev plays Black. Rather than asking an LLM to generate move strings or JSON, the backend feeds all server-validated legal candidate moves into Vercel AI SDK's experimental_evaluate(). Jev picks Black's move and outputs its probability distribution across all legal candidates in a single forward pass (~300ms, ~$0.00004/move).
Github link: https://github.com/qibinlou/jev-chess
Hope this helps!