<?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/6f12f40f816f4f82b8c338a50ee4bdca&quot; frameborder=&quot;0&quot; width=&quot;1266&quot; height=&quot;949&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>949</height><width>1266</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>949</thumbnail_height><thumbnail_width>1266</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6f12f40f816f4f82b8c338a50ee4bdca-a9756578f2df8026.gif</thumbnail_url><duration>127.661</duration><title>Notion Builds a Messaging Review Workflow</title><description>This Loom shares a product marketing use case showing how Notion uses its own product internally. John Hurley, head of marketing at Notion, describes creating a “Messaging BS Radar” that uses Notion AI and automated workflows to review internal messaging and positioning documents. The workflow takes messaging or an email a user wrote, verifies it against product marketing frameworks and best practices, and returns marked-up feedback and a revised version. The creator emphasizes that showing specific, real use cases helps viewers connect the dots and adopt the same approach for horizontal product needs.</description></oembed>