The A.I. accesses mass dumps of image data voluntarily surrendered by various digital platform users. For the purpose of chair design, it filters images of human people sitting in chairs and compiles dimensional analyses of observed postures. These quantized postures are then statistically indexed by frequency of occurrence. The most ubiquitous postures become seminal design models for iteration and optimization. Although the AI accesses all available digitized photographic archives of humans sitting throughout history, images of hunched-forward sitting postures are statistically pervasive. This is largely understood by the exponential growth in the availability of digital cameras simultaneous to (and possibly interdependent of) the explosive rate of computer inundation throughout all aspects of modern life. The image of slouch, statistically speaking, becomes the ideal type—and the AI’s muse.