The distinction between confidence and correctness is the part I will remember. A model can be highly confident about a label and still be wrong, so quoting a high percentage as proof misses what the number actually measures. I also found the sentence level advice practical: a handful of flagged sentences in an otherwise unflagged document tells a different story from a uniform score, and the warning about short text giving noisy results explains a lot of confusing reports.