LLMs can be operationalized as strategic game agents that adapt their reasoning approach based on game type, and interactive platforms like Nemobot let developers actively experiment with and refine these agents in real time.
Nemobot is an interactive platform that uses large language models to create game-playing AI agents across different game types—from word games to strategy games. Users can build, customize, and deploy these agents while watching them learn and improve through reinforcement learning, human feedback, and self-critique.