This workshop explores how to turn everyday clinical reporting problems into practical Shiny applications. A first example combines R functions for predefined colour-science criteria into an interactive tool for evaluating figure colour compliance. A more advanced example examines abnormal page breaks in tables, listings, and figures using pixel-density analysis. Participants consider how to break unfamiliar problems into manageable components, identify useful packages, and assemble a complete workflow. Topics include converting pages to images, basic image processing, dynamic interfaces, defensive programming, and code organization. The session connects existing R and Shiny knowledge with the design of useful visual quality-control tools.