{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8aa6b76e6b294625bee11e5748beb4d1\" 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/8aa6b76e6b294625bee11e5748beb4d1-4e3153fe951d0b93.gif","duration":211.798,"title":"Organizing an AI Content Workflow and Tools","description":"This Loom explains the author’s contented focusing system and how they generate AI “out spoons” across platforms. They describe their folder structure, including tools, workflows, Q.md for purpose-based writing, Q4.md content, platform-specific references, and a voice guide, and they mention testing after setup. The main focus is on iterating the first and second AI versions in Google Drive, where the first produced cold results and the second created a warmer, more helpful output that avoided attacking people and used a question-and-scenario style. The newest version creates eight different outputs, each with links for posts such as an Instagram carousel, caption, Twitter thread, and a TikTok video script."}