<?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/1bdce19966af424fa1fb17cfbe73e5c8&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/1bdce19966af424fa1fb17cfbe73e5c8-925be118b8429e42.gif</thumbnail_url><duration>263.445333</duration><title>Recursive Verifier Engine for Reliable Agent Done</title><description>This Loom explains a recursive verifier engine and how it decides whether an agent’s work is truly done. The system gives an agent a one-line goal and a token budget, then builds a tree of plan, checks, falsify, work, verify, and rerun steps to produce a strict “done” or “not done” verdict. It prevents false success by rerunning every check with a model family that contributed nothing, and it reports exactly which check failed. The creator highlights a real failure case where deleting data older than 30 days was reported done despite only testing code the agent wrote, not the unknown external system configuration.</description></oembed>