Genuinely curious — how did you isolate the effect of comments/context on model performance from all the other variables that change between sessions (prompt phrasing, model variance, etc)? In other words, how did you validate the hypothesis that "turning off the comments" (assuming you mean stripping them temporarily...) resulted in an objectively superior experience?

What did your comparison process look like? It feels intuitively accurate and validates my anecdotal impression but I'd love to hear the rigor behind your conclusions!