<?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/360ca887cccd44e7ab6064ca7233f122&quot; frameborder=&quot;0&quot; width=&quot;1700&quot; height=&quot;1275&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1275</height><width>1700</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1275</thumbnail_height><thumbnail_width>1700</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/360ca887cccd44e7ab6064ca7233f122-e48e7374a92e8543.gif</thumbnail_url><duration>129.316667</duration><title>Integrating Quo with Dripjobs for Enhanced Customer Communication</title><description>In this video, I walk you through how to connect Quo to Dripjobs by generating a new API key, which I named Dripjobs Test. This integration centralizes all customer communications, allowing us to keep a record of calls and transcripts directly within Dripjobs. One of the standout features is that Javi AI will now utilize these call summaries to enhance follow-ups with more context. I&apos;m really excited about how this will improve our communication and data management. If you love this feature, please let us know in the comments, as we’re always open to feedback!</description></oembed>