Thanks, Alex. What do you mean about the non intrusive point - something about the ongoing interactions within the product or things like bootstrapping interests from twitter?
By non-intrusive I meant that I have no idea what kind of ML is really going on behind the scenes. In this sense it's very different from interacting with, say, Netflix's recommender, or youtube's ad predictor (a friend "liked" a vodka ad once and is now assumed to be an alcoholic), where you really do need to build a mental model of what the ML is doing to effectively use the site. With prismatic I don't seem to need to care.
