This short paper discusses a handful of perhaps obvious, but important observations about KeY, the state-of-the-art deductive verification tool for Java programs. Two light research ideas surface out during the admittedly divergent discussion, both of which seem to be little explored, at least in the given context. Not all projects survive for as long as KeY does, it takes a good idea and dedicated people for that to happen. Hence, the paper also contributes with a formally proved correspondence between using KeY and being a good researcher. Apart from that, considering the occasion to which this paper is dedicated, a handful of memories about Prof. Hähnle are also shared. © 2022, Springer Nature Switzerland AG.