<?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/261261c2dffc421e90a70ba676a3c9cf&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/261261c2dffc421e90a70ba676a3c9cf-4f16d795f4821cf2.gif</thumbnail_url><duration>281.43</duration><title>Budtender AI Product Video 1</title><description>Today on April 13, 2026, I shared what I call the Budtender AI. I’m using our existing system data on 15 cannabis products, including THC, CBD, CV, terpene profiles, descriptions, cultivation details, and prices, plus customer order and account info. The goal is to let shoppers use a tablet guided session to pick goals like social lift, then filter for effects, what to avoid, potency, experience level, and format like pre-roll. The app then recommends matching products such as Lemon Scum, Sour Diesel, and Harley Quinn. I asked viewers to pick options during the walkthrough and hit continue to see recommendations.</description></oembed>