<?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/a189f3c00bdb4699afd657cae812dc7c&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/a189f3c00bdb4699afd657cae812dc7c-cd6b80c1523a4558.gif</thumbnail_url><duration>2417.595</duration><title>Introducing Jelly Layer: A New Approach to OEV Extraction in Lending Protocols </title><description>Hello everyone, I&apos;m Adi, and in this video, I present my project called Jelly Layer, which focuses on risk and compliance using the Chainlink Runtime Environment (CRE). Jelly Layer is a complete pipeline built on the CRE Go SDK that optimizes Oracle Extraction Value (OEB) specifically for lending protocols like Aave. I discuss the roles of borrowers, lenders, and liquidators in the liquidation process and highlight how my product can reduce unnecessary gas fees and improve efficiency in liquidations. I believe that by utilizing CRE, we can create a more organized approach for liquidators to secure positions without excessive costs. I encourage you to consider how this solution can enhance our current systems.</description></oembed>