We recently explored how we transform data loaded into analytics-ready tables in warehouses using dbt data models, and now we're revealing the process behind creating those models. We've been utilizing ChatGPT to expedite this work by automating tasks such as documenting column descriptions, building python scripts for maintenance efforts, aiding complex sql transformations, understanding business outcomes of specific data models, and ensuring cross-database compatibility. These AI-powered tools have significantly reduced manual labor time, allowing us to reallocate resources to more critical aspects of the process. By leveraging ChatGPT's capabilities, we can streamline our model creation and validation processes, making it easier for users to access high-quality analytics-ready tables.