<?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/cda4b279a126494299a0a5716cba9978&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/cda4b279a126494299a0a5716cba9978-6e980d0761fb7004.gif</thumbnail_url><duration>159.573</duration><title>How I Automate an Editorial Workflow</title><description>This Loom explains how Jake uses AI and automation to run an editorial department workflow from drafting to publication. He describes an AI research and drafting stage, followed by QC for style and grammar, with drafts sent to writers via Slack and Google Jira to create and move issues. Work then goes through fact-checking, Jake’s editorial review, and writer approval cycles until the writer is fully aligned, followed by legal and compliance checks with human legal signoff if needed. After executive review and possible rewrites, the content moves to graphic design, publication, and then a final AI step to fetch publication metrics and generate an analytics summary.</description></oembed>