<?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/4761b8640af642368e50be47c7f2a2a5&quot; frameborder=&quot;0&quot; width=&quot;3762&quot; height=&quot;2821&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2821</height><width>3762</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2821</thumbnail_height><thumbnail_width>3762</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/4761b8640af642368e50be47c7f2a2a5-d62826bf430271b2.gif</thumbnail_url><duration>168.629656</duration><title>Building Trust in Agent-Based Execution for Web4 🌐</title><description>In this video, I discuss our team&apos;s development of an execution governance layer for AI agents, which addresses the critical need for trust in agent-based transactions. We built the AEP to manage execution with identity binding, authorization checks, and accountability, targeting professional users and small institutions. Our early validation shows a strong demand for agent trading, but users are concerned about execution authority and risk management. We aim to establish AEP as the standard execution mechanism across various agent frameworks and blockchains. I encourage viewers to consider how they can integrate our solutions into their operations to enhance trust and efficiency.</description></oembed>