{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c422d2461c11411ea257b1c4507f253e\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c422d2461c11411ea257b1c4507f253e-261204f576c140e2.gif","duration":735.213,"title":"Canary Demo (onboarding)","description":"This Loom demonstrates how Canary helps users think through uncertainty by capturing every step of their research. Paul shows how he records notes, questions, and ambiguities while reviewing sources like emails and phone numbers, then drags specific items into new sub-paths to continue without losing context. He highlights how Canary captures background details such as window context, URLs, sources, and reasoning, and can prompt confidence checks and suggest connections or stepping stones. He also describes a larger existing project with diagnostics on thinking patterns, collaboration features via narratives, and privacy controls so captures stay on the user’s machine unless shared with a team."}