<?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/01366322105f4671a002e2e8b920dca4&quot; frameborder=&quot;0&quot; width=&quot;1770&quot; height=&quot;1327&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1327</height><width>1770</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1327</thumbnail_height><thumbnail_width>1770</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/01366322105f4671a002e2e8b920dca4-c4a17cef9c021dca.gif</thumbnail_url><duration>833.305</duration><title>AI in Finance Demo: Perplexity Computer</title><description>I jumped back into Perplexity, trying their new Perplexity Computer to build a full stack web app for tracking and monitoring a configurable list of stocks, starting with the Dow 30. I asked for a dashboard with digestible performance drivers over the last quarter and year to date, plus drill down views for each stock and portfolio support with add and remove actions. Perplexity launched a multi agent build in the workspace, including backend data models, finance data, seeded examples, QA, and deployment. I approved the build when it asked, and I plan to review the preview once it finishes.</description></oembed>