<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/4fd54b27960d4ce49bbc956c4dc265a4&quot; frameborder=&quot;0&quot; width=&quot;1228&quot; height=&quot;921&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>921</height><width>1228</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>921</thumbnail_height><thumbnail_width>1228</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/4fd54b27960d4ce49bbc956c4dc265a4-dd9508ba17a17e75.jpg</thumbnail_url><duration>520.85</duration><title>How to Build a Context-Rich Project</title><description>This Loom explains how to set up and build a context-rich AI project in Cloud Projects. It walks through creating a project with a free plan, adding project-specific instructions for guardrails, and uploading relevant context files such as an approved proposal, templates, and a style guide. The creator notes that project memory typically becomes usable after a few chats (usually three or four) and can then be edited or saved based on decisions made during use. The Loom also shows how the same concepts appear in ChatGPT via project settings, with instructions in settings and context as sources.</description></oembed>