<?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/94282a1b9a3f4a729b6e87c7bcf85bca&quot; frameborder=&quot;0&quot; width=&quot;1366&quot; height=&quot;1024&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1024</height><width>1366</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1024</thumbnail_height><thumbnail_width>1366</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/94282a1b9a3f4a729b6e87c7bcf85bca-efb4d1738e04f04d.gif</thumbnail_url><duration>293.072</duration><title>Project: WhatsApp AI Agent Demo with Voice and Image</title><description>In this Loom, I show a WhatsApp AI agent that can communicate with users through WhatsApp. It handles text, audio, and image inputs, then uses company input data to generate replies and manages the conversation flow. I test the workflow by sending six messages, and it queues them in Redis, waits about 10 seconds, then hands off to a RouteGroup agent to decide response or general info. I also send a voice message and an image, and it downloads the media, transcribes with an OpenAI model, and replies back via WhatsApp. No action is explicitly requested from viewers.</description></oembed>