In the early months of 2022, before AI would be on the tip of every tongue, IBM Research had a valuable asset at its disposal: a selection of proprietary AI models that could accelerate molecular discovery. These models were technologically advanced, but only interactable in code form—which wasn't particularly user-friendly for lab scientists who lacked coding knowledge. Seeking to bridge this gap, IBM Research engaged us to create an intuitive interface that would enable these scientists to leverage the AI models effectively, thereby facilitating the creation of new molecules that could find drugs for diseases, sustainable materials and much more. The objective was not just to make the models accessible, but to ensure their seamless integration into the existing scientific process.