video1.0<iframe src="https://www.loom.com/embed/21d36102972640a48b2e2c9cad28a97c" frameborder="0" width="1720" height="1290" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12901720Loomhttps://www.loom.com12901720https://cdn.loom.com/sessions/thumbnails/21d36102972640a48b2e2c9cad28a97c-7761d510c728db26.gif232.427This Loom demonstrates how Exodar evolves expired patents into novel, additive-manufacturing-ready designs. It first uses the hog API to identify potential customers, for example a mechanical parts quality engineer at NASA, by scanning platforms like LinkedIn, Twitter, and Reddit, then converts the patent PDF into an image and uses text-to-CAD with CADQuery to generate geometry. Using an evolutionary algorithm paired with an LLM, it evolves the design to improve novelty, manufacturability, and physics, increasing a baseline score. The output includes an invention card, LLM reasoning, and a manufacturing brief, shown with a shock absorber example where struts and a loft improve strength and load paths for additive manufacturing.