<?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/e58e48ae008b416cbd4ce92bc8b2aea2&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/e58e48ae008b416cbd4ce92bc8b2aea2-42f0dc5b07fd832e-full.jpg</thumbnail_url><duration>359.2589</duration><title>Introducing SAGA</title><description>Introducing Pulsar&apos;s Saga’s AI analyst for social, audience, and narrative intelligence. It describes how Saga queries live Pulsar data and runs hypothesis-driven analysis across nine frameworks, with built-in data quality checks and a so-what test. The video shows what prompts to use, including brand health versus competitors, crisis monitoring for escalation and drivers, and campaign measurement for before and after baselines, emphasising to ask why and how questions. It also outlines how to read results and caveats about data limits.</description></oembed>