<?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/e2cd0877935e49deaca5609374379652&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/e2cd0877935e49deaca5609374379652-f285c2962566e24f.gif</thumbnail_url><duration>5268.9282</duration><title>Optimizing AI with Personas and Prompt Engineering</title><description>In this video, I discussed how to make MS Copilot more usable by utilizing system prompts and creating specialized personas for software development tasks. I shared examples of personas, such as a requirements reviewer and a security expert, which have proven effective in real-world applications, saving companies significant time and resources. I emphasized the importance of prompt optimization and demonstrated how to extract valuable data from interviews and research papers using AI tools. I encouraged viewers to experiment with creating their own personas and refining their prompts to enhance AI outputs. Please take the time to implement these strategies and share your results.</description></oembed>