{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d267529bd3d04b2ea8c88756600986c4\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d267529bd3d04b2ea8c88756600986c4-d8452de2f54ba6d3.gif","duration":741.783333,"title":"Escaping the Delivery Trap with AI Systems","description":"This Loom explains how experts can break out of the “delivery trap” by building an owned system that delivers their expertise at scale without adding to their workload. It argues that traditional scaling fixes like hiring, agencies, or using AI for minor assistance all lead back to the same bottleneck because real decisions and delivery still depend on the expert. Using a client example, Patrick Runs built a platform with 100 plus tools and within 24 hours students closed real projects after launching. The Loom positions Dylan McIntosh’s approach as creating a small tool, tree, or full platform that runs under the expert’s brand while the expert stays in control of judgment and standards."}