Pangram's push toward calibrated confidence targets the industry's ugliest pain point: false accusations of AI writing that have burned students and professionals alike. Showing an 'AI range' instead of a hard verdict is an honest design choice most detection vendors still avoid. In our view this is incremental engineering rather than a breakthrough, but calibration is exactly where detectors win or lose trust. The deeper question remains whether any statistical detector can be reliable enough for high-stakes decisions — a tooltip admits uncertainty without resolving it.