<?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/c43aa34205854096bcec0a96e7ba5634&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/c43aa34205854096bcec0a96e7ba5634-00001.gif</thumbnail_url><duration>410.0707508499999</duration><title>Quick Tour of Collaborative AI-Assisted Workflow with Inngest and Party Kit</title><description>In this video, I give a quick tour of a collaborative AI-assisted workflow using open AI APIs. I demonstrate how to run the workflow and show the issues related to the demonstration. I explain the process of making function calls behind the scenes and how it uses a linear account. I also discuss the importance of human intervention in the workflow and the challenges of handling streaming interactions. Overall, this video provides an overview of the workflow and highlights key components and considerations.</description></oembed>