<?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/390302f6fd1447329fde48715dfa8164&quot; frameborder=&quot;0&quot; width=&quot;1374&quot; height=&quot;1030&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1030</height><width>1374</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1030</thumbnail_height><thumbnail_width>1374</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/390302f6fd1447329fde48715dfa8164-bda8129e10d39547.gif</thumbnail_url><duration>268.6729</duration><title>Automating Project Proposals with AI Insights</title><description>In this video, I walk you through how to effectively use the information gathered from client meetings to populate our project proposal template for Harthenhalo. I explain the automation process we’re using with NAN, which extracts key details from transcripts and rephrases them into professional language. I also highlight how the AI agent interprets client quotes to ensure we capture their intent accurately. Please take a moment to review the new slide deck created from this automation, as it contains essential insights for our proposal. Your feedback on this process would be greatly appreciated.</description></oembed>