The Bottleneck No One Talks About Rapid prototyping is supposed to be rapid . You have an idea, you model it, you print it, you iterate. In reality, the "model it" phase often kills the momentum. If you are not fluent in CAD or sculpting software, getting from a concept—whether a photo, a sketch, or a mental image—to a physical object can take days. Even experienced makers spend hours on mesh cleanup before the model is slicer-ready. Traditionally, bridging the 2D-to-physical gap meant one of two things: learning parametric CAD for geometric parts, or using photogrammetry for organic shapes. Both work, but both impose heavy upfront costs in time, skill, or hardware setup. Over the last year, a third path has emerged: single-image 3D reconstruction powered by diffusion and depth-estimation models. The idea is seductively simple—upload one picture, get back a textured mesh. But anyone who has actually tried to print one of these meshes knows the reality: raw AI output is rarely printable.…