<?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/0d8fce94aae145e0ac9f2a4245bb56e7&quot; frameborder=&quot;0&quot; width=&quot;1484&quot; height=&quot;1113&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1113</height><width>1484</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1113</thumbnail_height><thumbnail_width>1484</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0d8fce94aae145e0ac9f2a4245bb56e7-c472a6b8e9acebc5.gif</thumbnail_url><duration>930.322</duration><title>AI in Finance Demo: Lindy</title><description>In this video, I explore the exciting world of agents in AI, emphasizing their role in execution and how they can automate tasks effectively. I demonstrate building an agent using Lindy that responds to emails with researched, psychologically informed replies, showcasing the ease of this new approach compared to previous methods. I encountered some challenges during the setup, but I highlight the importance of patience and persistence in working with AI tools. I encourage you to experiment with agents like Lindy to enhance your productivity. Please consider trying out the agent-building process and share your experiences.</description></oembed>