Allowing AI models to review each other's work is a game changer. In our experience, creating a feedback loop between models can surface errors that a single model might overlook. This approach mirrors ensemble learning, where combining multiple models usually enhances overall performance. For developers, it's an exciting opportunity to build more robust AI systems through collaborative agent architectures. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)