30 Agents Automating a YouTube Channel
Smokiezzz · reddit · 2026-07-19
The author shares a multi-agent system designed for a fully automated YouTube channel, targeting a research → render → publish → grow workflow with human intervention only at the final approval stage.
The system is divided into 7 departments:
- Orchestrator: Maintains the content board, assigns tasks, controls approval gates, and retries failed tasks.
- Research/Scripting/Production/Packaging/Growth/Ops/Monetization: Respectively handle topic selection, scripting, video production, covers & metadata, growth, operations, and monetization.
They also describe the post-publish automation loop: tag completion, playlist routing, pinned CTAs, recutting into Shorts, and community replies with deduplication memory to avoid repetitive responses. Actual rendering is handled by a standalone AI video engine, EdgeCut, via internal APIs. Due to its serverless architecture, long renders and stuck tasks were the hardest to manage, ultimately resolved using heartbeat + stale-state detection to recover killed functions.
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