As consultants, Nebulab needed to make recommendation decisions explicit to product and operations stakeholders. A stack of named amplifiers with 48 labeled parameters is easier to explain (and therefore sell) than a black-box ML model with a billion weights. Empowering stakeholders to form opinions on the algorithm was part of the job — 'not always a good thing' but useful for buy-in.