I Spent $300 to Have AI Make an Entire Movie (Here's How)

Описание: Most people think AI-generated movies are just hype. I built an agent system that autonomously produces 30-minute films for $300-400 while running on a remote server.

This is the technical deep-dive into how the Phi movie was made - showing the actual agent architecture, workflows, and infrastructure that makes autonomous movie production possible.

In this video, I cover:
StoryPipe agent architecture with multi-skill workflows
Story generation process from master plot to episode-by-episode writing
Character system with reference images and multiple costumes
Video production using Google Veo 3 (~$3.50 per generation)
Trinity integration for remote autonomous execution
Local-remote agent pairing via MCP
Heartbeat scheduling system (20-minute intervals)
Feedback loop for reviewing and regenerating scenes
Real production costs and timeline (~$300-400 per 30-min movie)

This isn't theory - this is the actual system I'm using right now to produce multiple movies autonomously. The agent runs on a remote server, syncs via GitHub, and I can review and provide feedback on Google Drive without interrupting the production process.

If you're building with deep agents or interested in autonomous creative systems, this breakdown shows exactly how it works.