Labelbox has introduced a redesigned Multimodal Chat (MMC) editor that facilitates intuitive and efficient evaluation of sophisticated frontier models through live, multi-turn, and multimodal interactions. The new form-based design addresses challenges in assessing complex models by offering a streamlined workflow that allows trainers and evaluators to classify, rank, rate, and evaluate responses step-by-step. Key enhancements include a linear layout, integrated instructions, visual cues for task status, and a minimap for identifying incomplete tasks, all of which aim to reduce errors and improve data quality. This revamped interface supports a seamless and responsive user experience, making it easier for AI teams to generate high-quality training data and conduct model comparisons effectively, thus accelerating the development of reliable AI models.