{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9253612fe2a44ea1a822c495de431cb7\" frameborder=\"0\" width=\"2368\" height=\"1776\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1776,"width":2368,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1776,"thumbnail_width":2368,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9253612fe2a44ea1a822c495de431cb7-5b29523beff22b4c.gif","duration":210.188,"title":"See Inside Devices With Photo Teardowns","description":"This Loom explains how Magni uses a single photo to virtually disassemble and analyze broken consumer electronics. It scrolls outward-in by layers and can lift the shell to identify likely culprits in red, then reads the object by consulting product matches and part specs. Using Meta’s Muse Wander, SAM 3.1, and Manifold, it rebuilds a 3D model from multiple view renders and supports an explode view with sliders to inspect parts and internal components such as boards and modules. The guide can also diagnose issues like controller thumbstick drift by distinguishing steady creep from general position loss and pointing to a thumbstick potentiometer module."}