A new framework teaches AI models to audit and repair each other’s reasoning, improving accuracy

Enterprise multi-agent workflows typically use rigid, pre-scripted pipelines or simple voting mechanisms to aggregate the responses of multiple agents. These approaches break down when complex problems cannot be divided into neat subtasks in advance or none of the models in the AI system has the complete answer. Read more