<?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/926a88546fec44f4862ff3109d638f5c&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/926a88546fec44f4862ff3109d638f5c-4da7ca6ead5ff647.gif</thumbnail_url><duration>335.488</duration><title>Clinical Copilot Demo with FHIR Guardrails</title><description>Hi all, in this demo of our AgentForge clinical copilot, I show how Dr. Chen logs in with multi factor authentication, then I pull patient data from the FHIR API and generate a brief for Margaret Hayes. I highlight two hard coded guardrails, a Verified tab that compares FHIR output with the LLM output to prevent hallucinations, and a rule to show nothing when no patient data is available. I also enable observability in LangFuse, with 13 API calls so far, no failures, and traceability across steps. No action is requested from viewers.</description></oembed>