The first decision shaped everything downstream: reference photos carry backgrounds and reflections that corrupt 3D geometry, so images could not feed generation directly. ClipDrop runs first on every image, handling enhancement and background removal to produce clean input before anything touches 3D. That cleaned image feeds Tencent's Hunyuan3D 2.0, hosted on AWS, which produces a base mesh; for text prompts, ClipDrop is skipped and the prompt feeds Hunyuan3D directly. Blender then renders controlled 2D views of the mesh, and NeuS2 uses them to reconstruct a high-definition, manufacturing-grade model. Splitting basic and HD generation into two sequential stages was deliberate: basic models serve fast iteration and client preview, while HD models go to the manufacturing handoff where accuracy actually matters. Ideas2IT wrapped the pipeline in a real product rather than an internal tool, with a web and mobile app, Google SSO for authentication, a Stripe token economy for payment, and a superuser admin panel for user, token, and pricing control. A second phase now in development extends the pipeline to hand-drawn sketches, adding line normalization and contour extraction before the same Hunyuan3D and NeuS2 flow.