During March 2025, Thomas Ruchti enhanced the Smithsonian/layup repository by developing robust data loading and input validation features for orbitfit workflows. He implemented support for multiple observation data formats, including MPC80col, ADES_csv, ADES_psv, ADES_xml, and ADES_hdf5, using Python to streamline ingestion and ensure data integrity. His approach incorporated real-time feedback during loading, comprehensive error handling, and checks to prevent accidental overwriting of output files. By focusing on command line interface usability, file I/O, and data validation, Thomas delivered a well-structured foundation that improves reliability and sets the stage for future extensibility in orbitfit data processing.