<?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/6457ede2de314b9ea4f1d8c100f08521&quot; frameborder=&quot;0&quot; width=&quot;2228&quot; height=&quot;1671&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1671</height><width>2228</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1671</thumbnail_height><thumbnail_width>2228</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6457ede2de314b9ea4f1d8c100f08521-c02537e6ee4303fe.gif</thumbnail_url><duration>790.14</duration><title>Claude Chat vs Claude Code &amp;amp; Claude Cowork</title><description>In this video, I discuss the differences between Claude Chat, Claude Code, and Claude Cowork, focusing on how they operate and the benefits of using the agentic loop in Claude Code. I highlight that while both Claude Chat and Claude Code utilize the same underlying models, the looping mechanism in Claude Code significantly improves accuracy from 42% to 78% on complex tasks. I encourage viewers to consider how they engage with AI tools, especially noting that Claude Cowork offers a more user-friendly interface for those in accounting and finance. If you have any questions or need further clarification, feel free to reach out.</description></oembed>