{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c818cf57b28a4f22bf60fc52adfd6b1c\" frameborder=\"0\" width=\"1846\" height=\"1384\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1384,"width":1846,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1384,"thumbnail_width":1846,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c818cf57b28a4f22bf60fc52adfd6b1c-7b95af89112c402e.gif","duration":1362.686,"title":"Building a Music Learning App from Signals","description":"This Loom demonstrates how Meridian creates an initiative end to end, using market research, validation, and automated product building. It starts with an example music learning app for tone deaf people, using visual cues and tactile feedback, then maps user personas like Emily Chen and analyzes competitors into a research board with positioning, SWOT, and signal linkages. It estimates market sales and estimates that 25 percent of people fail to learn guitar after the first week, with solution and market confidence reaching over 85 percent before feature synthesis. The Loom then shows Vibe coding generating 41 build tasks, simulating budgets and timelines such as reducing cost from 71,000 to 50,000, and finishing with an MVP release that includes a feedback survey and release messaging."}