<?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/3d73087e19ee4974954b1ecced4fcb1b&quot; frameborder=&quot;0&quot; width=&quot;2174&quot; height=&quot;1630&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1630</height><width>2174</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1630</thumbnail_height><thumbnail_width>2174</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3d73087e19ee4974954b1ecced4fcb1b-e58845a649dbfa7f.gif</thumbnail_url><duration>80.0717</duration><title>Optimizing Task Bundles for Chat GPT Analysis</title><description>In this video, I discuss my use of least filter tasks to send all client work tasks without filtering, setting a limit of a thousand. However, I&apos;ve noticed that instead of the expected 18 bundles, I&apos;m only receiving nine, which raises some questions about the data. Specifically, I&apos;m trying to ensure that all bundles are included for analysis by ChatGPT, as I need it to process the complete information. I would appreciate any insights or solutions you might have regarding the bundle discrepancies. Please let me know if you have suggestions on how to resolve this issue.</description></oembed>