Quick context on the bots.

I tried standard LLM-based approaches first, but iteration was slow and the bots never felt consistent or aware of real-time game state.

OpenClaw sped up the feedback loop a lot and handled game context much better by operating over structured actions instead of free-form text. The result is bots that actually play the game using the same mechanics as humans.

They’re still imperfect, but good enough to make the game feel alive. Happy to answer questions.