Chris Lane enhanced vehicle registration input handling in the agriculturegovau/agds-next repository by implementing a normalization feature for form data. Using TypeScript, he developed logic to automatically trim leading and trailing whitespace and collapse multiple spaces in vehicle registration numbers before validation occurs. This approach improved both data quality and user experience by reducing whitespace-related input errors and ensuring consistent, clean data for downstream processing. The work focused on robust input validation and form handling, resulting in a targeted, reviewable code change. Chris’s contribution established a solid foundation for future data normalization efforts within the project’s form processing pipeline.