In 2022, our team announced the first release of the tfrmt package, providing clinical programmers with the novel ability to create tables without data. With its metadata-driven engine applied to the emerging industry standard of Analysis Results Data (ARD), tfrmt stands out among an abundance of other R-based table-making utilities. As we entered 2023, we sought to extend the capabilities of tfrmt to a wider user-base, beyond teams working solely in R. In this presentation, I will share our efforts to bridge the gap between tfrmt and its range of potential users. This includes the development of the companion Shiny app, tfrmtbuilder , which simplifies the learning process for newcomers and enables advanced customizations for non-programmers. Additionally, tfrmt ’s new ability to generate and consume language-agnostic metadata is crucial for templating and reuse. Attendees will learn about our approach and discover how to incorporate tfrmt , along with its recent enhancements, into their unique workflows.