<?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/2c69654bc3374eef85aba24601accb1b&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/2c69654bc3374eef85aba24601accb1b-b05bcf35bd99530c.gif</thumbnail_url><duration>403.173</duration><title>Mastering Effective Prompting for AI Assistance 📊</title><description>In this video, I discuss how to effectively prompt for information by focusing on three key ingredients: the task, the context, and the desired output. Using my own example of upgrading my phone, I demonstrate how I asked for a comparison spreadsheet of different models, including promotions from carriers. The process took about eight and a half minutes, resulting in a well-organized spreadsheet with valuable recommendations. I also highlight the importance of providing context and personalization to improve the quality of responses. I encourage you to apply these principles in your own prompting for better results.</description></oembed>