Prefect, a company specializing in Python runtime orchestration, has introduced a feature called "assets" designed to enhance data lineage tracking for workflows by showing the outputs they produce and how they interrelate. This asset-oriented API allows users to model data lineage similarly to writing functional Python, providing a clear, end-to-end view of data assets without requiring workflow contortions. By replacing the @task decorator with @materialize, Prefect automatically builds a global graph of what a system produces, which is accessible to both technical and non-technical stakeholders, offering an intuitive understanding of data outputs and their connections. Unlike other orchestrators like Dagster and Airflow, Prefect's approach dynamically reflects actual data conditions without requiring upfront asset graph definitions, and it seamlessly integrates with existing workflows. The asset feature, which is available for all Prefect Cloud users, is set to expand with more integrations, support for asset metrics and health, and data quality monitoring, with the company encouraging community feedback for future improvements.