<?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/48b59e7af9274e42b51e42a339b8c9a5&quot; frameborder=&quot;0&quot; width=&quot;1910&quot; height=&quot;1432&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1432</height><width>1910</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1432</thumbnail_height><thumbnail_width>1910</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/48b59e7af9274e42b51e42a339b8c9a5-6f6d5d9a09a0ba7f.gif</thumbnail_url><duration>185.856</duration><title>Optimizing TikTok Ads with Structured JSON and API Integration</title><description>In this video, I showcase a system I designed for managing TikTok ads that outputs structured JSON, ensuring we gather all necessary fields for the API. I demonstrate the enforcement of business rules, such as requiring music for conversion ads, and how the agent detects and corrects errors before sending requests. I also highlight the use of a mock API layer for validation, which returns success messages or guides users on error resolution. Looking ahead, I plan to integrate the real TikTok API, add a database for campaign history, and implement further improvements. I encourage you to think about how we can enhance our ad management processes.</description></oembed>