I was wondering the same! So I asked Astra to build me <a href="https://jev-chess-master.vercel.app/" rel="nofollow">https://jev-chess-master.vercel.app/ where you play against Jev AI as chess player.
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).
iamgopal · · focus · HN ↗
iamgopal · · focus · HN ↗
leo4242 · · focus · HN ↗
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: <a href="https://github.com/qibinlou/jev-chess" rel="nofollow">https://github.com/qibinlou/jev-chess
Hope this helps!