StepProof Studio

AI can generate convincing instructions from a video, but how can we tell whether those instructions are actually supported by what happened on screen? **StepProof Studio turns instructional videos into evidence-linked, human-reviewable procedural guides.** Instead of treating AI-generated steps as unquestionable facts, StepProof connects them to source footage, timestamps, tracked objects, and visual segmentation masks. Meta Muse Spark proposes structured procedural steps, while SAM 3.1 provides object-level visual evidence. An evidence-auditing layer helps reviewers identify missing or uncertain support, inspect the underlying frames, and save corrections. The result is a navigable workspace with an auditable review history and portable HTML/PDF guide exports. Our demonstration uses real model outputs and shows a reviewer identifying and correcting a model mismatch. StepProof does not claim to prove hidden physical events. Its goal is to make AI-generated procedures transparent, inspectable, and correctable. **From plausible AI instructions to evidence you can actually inspect.**