<?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/e3cd6455e98e4b738be7693bf1914087&quot; frameborder=&quot;0&quot; width=&quot;1884&quot; height=&quot;1413&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1413</height><width>1884</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1413</thumbnail_height><thumbnail_width>1884</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e3cd6455e98e4b738be7693bf1914087-cc30454071145d8b.gif</thumbnail_url><duration>496.75</duration><title>Clay Uni - Prompt Engineering Crash Course</title><description>In this video, I delve into the fundamentals of prompt engineering, specifically focusing on the principles for prompting at scale in Clay. I discuss the three primary ways of interacting with AI in Clay, including regular AI integrations, Clagient, and AI formulas. I provide insights into best practices for prompting with AI, emphasizing the importance of setting context, giving clear instructions, and specifying formatting details. Tasks include understanding the different AI interaction methods and implementing effective prompting strategies.</description></oembed>