<?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/27d839e2d97949289596fc1f85f26627&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/27d839e2d97949289596fc1f85f26627-2ab33bfe546c6c6e.gif</thumbnail_url><duration>300.101</duration><title>ET Event Triage Fixes Trading Desk Issues</title><description>This Loom introduces ET, the Event Triage phone desk, which detects and fixes trading desk issues from a trader’s screen. Traders currently send vague Bloomberg or Slack messages about problems like order rejections, causing tickets to bounce while money is lost. With one hotkey, ET watches the last 60 seconds of the screen to identify the issue and resolve it, or immediately notifies the right desk via Slack if it cannot do so safely or accurately. The infrastructure is described as an end-to-end incident pipeline using incident.py, incident.json, decision stages, and NVIDIA Cosmos for video analysis, with risky actions escalated to humans through Slack tickets and JSON-based Slack posts including timestamped playbook steps and suspicious-content notifications.</description></oembed>