Developer Builds AI-Powered Python Engine to Fully Automate YouTube Channel Management

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A developer built RFD_YT_Engine, an 8-domain Python system that manages the complete lifecycle of a YouTube channel, from recording gameplay footage to publishing videos, via a 24-tool MCP server connected to Claude Desktop. The project evolved from a failed 9-stage AI-scripted content pipeline called ContentEngine, which the developer scrapped in favor of a simpler approach using real, unscripted gameplay footage. The engine discovered that eight YouTube Shorts were scheduled to publish at identical timestamps, a conflict invisible in YouTube Studio, and proposed fixes before making any changes. Building a custom YouTube Data API v3 integration revealed that the standard search endpoint returns only public videos, causing an initial sync to miss 103 of 167 channel videos, a problem solved by querying the uploads playlist instead. The system also uncovered a silent data corruption bug in YouTube's metadata update behavior, where sending partial snippet fields would silently erase existing tags and category settings.

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