<?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/c81a39a3864f4c298b441e123831fbe6&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c81a39a3864f4c298b441e123831fbe6-8d37decec47bf726.gif</thumbnail_url><duration>578.097</duration><title>ChatGPT Projects: Best Practices &amp;amp; Meeting Transcript Example</title><description>In this video, I discuss best practices for providing instructions in a ChatGPT project, focusing on key sections like the system prompt, task, context, project files, rules, output format, and example output. I also highlight a new sharing feature that allows team members to access projects easily. I walk through an example where I demonstrate how to use a transcript from a discovery call to populate a proposal template with relevant information. I encourage viewers to implement these practices to enhance their project outcomes. Please consider applying these insights to your own projects for better results.</description></oembed>