Labelbox has introduced a revamped Workflow editor to enhance the management of AI training data, focusing on improving data quality and process visualization. This new feature allows AI teams to design and manage complex, multi-step review processes through an intuitive, node-based graphical interface that resembles a flowchart. The editor facilitates customization, enabling users to implement distinct review paths, integrate AutoQA steps, and manage tasks with advanced filtering logic. It offers a structured yet flexible approach to data progression, with tasks like Initial Review and Rework, while also providing transparent tracking and validation checks to ensure robust workflows. The update is designed to streamline the labeling and review processes, thereby accelerating the AI development lifecycle, and is now available for all users to explore through a demo or sign up for a free trial.