<?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/2a5504a6a0694198ade092e2a8d166d2&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/2a5504a6a0694198ade092e2a8d166d2-4e8024b86832e254.gif</thumbnail_url><duration>769.942</duration><title>Using Cloud Code to Rebuild Clay Tables</title><description>This Loom explains how the LSClaystack Chrome extension and Cloud Code are used to work with Clay tables for a CallRail project. The presenter shows how to export Clay table JSON using copy all or Export JSON to avoid truncation, then load the files into Cloud to inspect table workflow, conditional logic, and AI column execution, including finding a missing condition in a resume and work email waterfall. They also use the same JSON inputs to generate client documentation and a PDF using LeetScale Report Generator without transcribing. Finally, they demonstrate generating a new Clay table JSON that imports into Clay to automate enrichment for LinkedIn and company domain to output a work email, noting it is not fully mature when the waterfall misbehaves.</description></oembed>