Developed and launched the IzzyViz project for the WING-NUS/wing-website repository, enabling visualization of large language model activations and transformer attention to support interpretability research. The work focused on content management and technical writing, using Markdown to document and promote the new feature. IzzyViz was integrated as a featured project through clear commit practices and feature flag updates, enhancing both user experience and marketing visibility. No major bugs were reported during the development period, reflecting a stable deployment. The project emphasized thorough project documentation and asset management, ensuring that the visualization tool was accessible and well-presented on the website.