Labelbox has introduced a revamped multimodal chat editor designed to enhance labeling workflows, increase efficiency, and improve data quality through a series of user-driven updates. The new features, informed by feedback from AI labs and the Labelbox community, include a simplified layout for model response comparison, integrated per-response classifications, and guided navigation, allowing users to efficiently evaluate and generate high-quality datasets for various AI post-training tasks. The redesigned interface, which supports simultaneous interaction with up to 10 AI models, aims to boost productivity and accuracy by offering an ergonomic horizontal layout, built-in automation, and enhanced global classifications. These improvements not only streamline workflows and reduce onboarding time but also cater to the needs of both frontier model builders and enterprise AI teams, facilitating faster project completion and more reliable AI models. Additionally, Labelbox offers free access to the multimodal chat editor and on-demand product demos to help users explore and leverage these new capabilities.