<?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/c44968dd41aa48eea83301959950262e&quot; frameborder=&quot;0&quot; width=&quot;2214&quot; height=&quot;1660&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1660</height><width>2214</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1660</thumbnail_height><thumbnail_width>2214</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c44968dd41aa48eea83301959950262e-fe352dba9dd79cab.gif</thumbnail_url><duration>104.967</duration><title>Training AI to Write in My Voice</title><description>This Loom explains how Sissy uses Revert to draft messages in her own voice instead of a generic tone. She trains a small base model (Quen 3.8, about 7) using thousands of threads from Cloud Code sessions plus Messages, X, and Gmail, so outputs sound like her. She describes a workflow where her model and a friend (Yana) can respond quickly to suggested messages and draft emails in Gmail and other places, including rephrasing highlighted text in her tone.</description></oembed>