How I Built a Fully Automated AI Video Production Pipeline Managing 15 YouTube Channels

What if you could run 15 YouTube channels, publish dozens of videos every day, and never manually edit a single frame? That is exactly what I built for a global media investment group - a fully automated AI video production system comprising over 90 interconnected workflows that handle everything from story ideation to final upload.

The Problem: Video Content Demands Outpace Human Production Capacity

YouTube rewards consistency and volume. But producing even one polished video per day requires scripting, asset creation, editing, rendering, and uploading - a process that typically takes hours of skilled labor per video. Multiply that by 15 channels, each with its own niche, format, and audience, and you have a content operation that would require a large production team and a substantial payroll.

a global media investment group needed a way to scale video output dramatically without scaling headcount proportionally. The vision was clear: build a machine that turns ideas into published videos autonomously.

The Solution: 90+ Workflows Forming an End-to-End Video Factory

I architected and deployed a comprehensive pipeline covering every stage of video production:

Tools and Tech Stack

The entire operation runs on n8n as the orchestration backbone, with Google Veo 3.1 for video generation, OpenAI GPT for scripting and content strategy, the YouTube API for publishing and channel management, and FFmpeg for video processing and compilation.

Results and Business Impact

• 15 YouTube channels managed autonomously with zero manual editing required.
• Dozens of videos published daily across channels, a volume impractical with traditional production methods.
• 90+ workflows operating in concert, covering every step from ideation through publication.
• Massive cost reduction compared to hiring editors, scriptwriters, voiceover artists, and channel managers.
• Consistent publishing cadence maintained around the clock, maximizing algorithmic favor on YouTube.

Conclusion

This project represents what I believe is the frontier of AI-powered content production. By chaining together generative AI for text, image, video, and audio with robust orchestration and publishing automation, I built a system that operates like a full production studio - without the studio.