AI Debate Experiment Architecture: Multi-Agent LLM Design
A debate between two AI models may look simple from the outside: give a topic, collect arguments, choose a winner. But once the models begin to answer, the real question becomes how to keep the conversation fair, comparable, and meaningful. Behind each round there is a coordinator, a set of constraints, blind jury decisions, and many small design choices that shape the result. This experiment is less about making models argue, and more about understanding how a controlled AI discussion can be built.
