Digital Medicinal Chemists now have a variety of increasingly robust methods at their disposal, which can be productively used with reasonable effort in the hunt for small molecule ligands and materials. However, to be most useful, current algorithms still require basic knowledge in ML and chemoinformatics, as well as some expertise in organic and medicinal chemistry to run, and should be seen as idea generators or assistants. Also, we currently do not see a single algorithm emerging that works best across different tasks. Often different algorithms work similarly well, which is why we currently recommend practitioners to choose the algorithms they feel most comfortable with, depending on task constraints.