Significant progress was made today in enhancing our data capabilities and AI integrations. The Framo master data and upstream transactions have been successfully seeded into the application database under a real organization. This crucial step makes vital data accessible within the app for a designated user, paving the way for more comprehensive analysis and reporting.

In parallel, we've refined our internal development logging system by upgrading its AI model to a more efficient version. This update improves performance and ensures a smoother development process. Additionally, the system has been hardened with defensive measures and cleaner error logging for increased reliability.

Further improvements include making the reporting period for upstream data loaders configurable, moving away from hardcoded values. This provides greater flexibility for future data integrations. We also enhanced the consumption of calculation engine errors, introducing typed errors and improved diagnostic capture for better error handling and debugging. These combined efforts contribute to a more robust and user-friendly Lotta Supply platform.