<?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/0672e537cc8f4d3ab5fe190d268e7ec9&quot; frameborder=&quot;0&quot; width=&quot;3342&quot; height=&quot;2506&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2506</height><width>3342</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2506</thumbnail_height><thumbnail_width>3342</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0672e537cc8f4d3ab5fe190d268e7ec9-8ddf29e67b2741cf.gif</thumbnail_url><duration>121.557</duration><title>Tuning FAQs</title><description>Hey Nestor! In this video, I demonstrate how our tuning system functions as an FAQ system for private queries and refining answers. Users can input questions and alternative phrasings, allowing the bot to prioritize information. Additionally, I showcase how support agents can easily convert resolved tickets into FAQs using our co-pilot tool, ensuring consistent and efficient customer support. Feel free to explore and let me know if you have any questions.</description></oembed>