{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7f9292044a774128958d6270834a791d\" frameborder=\"0\" width=\"1670\" height=\"1252\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1252,"width":1670,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1252,"thumbnail_width":1670,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7f9292044a774128958d6270834a791d-88bab667ef4e3d54.gif","duration":60.333,"title":"Building Waycool for Agentic Commerce Brand Data","description":"This Loom demonstrates Waycool, a personal shopping assistant for Agentic Commerce, and how it creates structured brand data for conversational shopping. It explains that you can upload a PDP URL or use the browser extension to pull product catalog information from a site like Wayfair. The user then types their profile details, style, and total budget, optionally adds a file to narrow the request, and locks the profile. Clicking the button deploys multiple subconscious agents to review the refined data and identify matching products."}