<?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/ebdf922811f94321ba3f0dae4291eea8&quot; frameborder=&quot;0&quot; width=&quot;1114&quot; height=&quot;835&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>835</height><width>1114</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>835</thumbnail_height><thumbnail_width>1114</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ebdf922811f94321ba3f0dae4291eea8-378288f1cd48539f.gif</thumbnail_url><duration>447.51</duration><title>AI-Powered Chat for AEM Translation Workflows (DevHandler)</title><description>Hey there, I am Yevhen from DevHandler. In this Loom, I show our AI PowerChat assistant embedded in IEM that drives task translation workflows via Azure AI Foundry with a BFF layer and MCP tools. We translate a weekend site page into French and German using a language master version, while a specific button is excluded from translation rules and verified in a dry run. Jobs are created asynchronously, approved, and the translated pages look correct. Then we reuse the same translation project to discover and add an FAQ page, and we start translation for it. No action is requested from viewers.</description></oembed>