BuildAMol's ability to handle diverse molecule classes and integrate with established cheminformatics libraries positions it as a valuable tool for various scientific pursuits. By prioritizing user-friendliness and offering a streamlined interface, Buil-dAMol minimizes manual input while maximizing control over the molecular assembly process. Coupled with its extensibility, BuildAMol is a promising platform for future advancements in fragment-based modeling, particularly when integrated with powerful deep learning techniques. The continuous integration and advancement of these techniques within this domain promise to significantly enhance the impact of in silico structural modeling on future research initiatives.