Today's work focused on improving how Lotta Supply handles report data, particularly concerning the 'report_year' field. We implemented a more robust migration backfill process to ensure accurate and reliable data, even when encountering non-numeric values. This enhancement contributes to the overall data integrity within the platform.

We also refined the user experience for manual data entry. Specifically, we ensured that manually entered fields are appropriately identified and do not display AI-related confidence badges. This provides clearer distinctions between AI-extracted and user-provided data. Additionally, we standardized the use of existing data structures for field provenance, enhancing consistency across the application.

Finally, documentation updates were completed to better reflect the project's file structure and task groupings, making it easier for developers to navigate and contribute to the codebase.