Comet's latest update introduces features designed to enhance workflows and processes in machine learning and AI projects, aiming to streamline operations and allow data scientists to focus more on data science rather than logistics. The update includes Interactive Reports, which enable the creation and sharing of dynamic reports with stakeholders; Machine Learning Templates, which standardize approaches for common ML tasks like project scoping and baseline model assessment; and a CodeCarbon Panel for tracking and reducing carbon emissions associated with computing resources. These features support reproducibility, visibility, and efficiency from planning to production, while also considering sustainability in machine learning practices. An upcoming live demo will showcase these new features, and interested individuals can subscribe to the Comet Newsletter for ongoing insights.