video1.0<iframe src="https://www.loom.com/embed/9f28e6a16c034b618df902fa1fda1330" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/9f28e6a16c034b618df902fa1fda1330-4f3d3de87156de9d.gif5302.4This Loom explains how to build and organize AI projects that power repeatable client work, tying together prompts, skills, and critical thinking. It details what goes into a project context: an about me or brand file, a voice file, and offer pricing and promises, plus guidance on naming and limiting file content to avoid overload. The speaker demonstrates a project-to-Canva workflow using a formatted script and a CSV “Canva Carousel” converter that auto-populates slides. It contrasts chat versus skills versus projects, outlines six reasons to use projects, and emphasizes small versus RAG search modes for managing tokens. The Loom also previews the next session focused on CoWork for scheduled execution, with a COO Office starting July 1.