<?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/31a112d2829b45319a1bbc1839489c0f&quot; frameborder=&quot;0&quot; width=&quot;1662&quot; height=&quot;1246&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1246</height><width>1662</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1246</thumbnail_height><thumbnail_width>1662</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/31a112d2829b45319a1bbc1839489c0f-7a3f333491f175fd.gif</thumbnail_url><duration>99.12</duration><title>G-Eyes</title><description>This Loom explains how G.EYES helps SMBs become AI-native by turning undocumented owner workflows into repeatable skills. It records a user’s screen during real work, analyzes the footage, and uses Gemini to extract what can be automated. The example uses a pharmacy with an old ERP to create a new patient and book a vaccine by recording the steps, generating a skill that can be shared across the company. The Loom also demonstrates scheduling batch patient operations through a client that supports skills.</description></oembed>