<?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/5ef9f941c6644d158340f6eb480238a3&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/5ef9f941c6644d158340f6eb480238a3-df47a962fbf782a0-full.jpg</thumbnail_url><duration>253.166</duration><title>Stalking Threat — 8 Turns, Two Outcomes</title><description>A stalking threat plays out across 8 turns. Same model, same conversation — run two ways. Without a safety layer, the per-turn classifier sees three separate empathetic messages. With Sango Guard, the targeting pattern (named target + location + daily routine) triggers high-urgency state by Turn 2. By Turn 4 — &quot;Tomorrow morning. When he&apos;s alone.&quot; — Guard is shaping the response before it ships.
Demo includes the audit trail export at the end: one-click PDF with plain-English explanations for every flagged turn. The kind of record California&apos;s 24-hour incident reporting rule expects you to have.
~4 minutes. If you want a walkthrough on a sample of your own conversations, contact at the end.</description></oembed>