A layered AI system automates video content research and production by identifying a creator’s content identity, locating videos already working in a niche, and converting that research into scripts that match the creator’s voice. The system uses multiple AI agents and sub-agents, with senior agents making big-picture decisions and sub-agents executing tasks such as thumbnail analysis, scripting, and editing guidance. A daily email delivers outlier videos, which are then analyzed by AI to determine what is working. The output becomes a script written in the creator’s voice, enabling faster iteration and growth without repeating manual research and production cycles.
"The system she built is layered. Sandy describes it as seven AI agents and sub-agents. Think of senior and junior engineers all working on your behalf. The senior agents handle big-picture decisions; the sub-agents execute specific tasks, such as thumbnail analysis, scripting, and guidance on video editing."
"Below, we focus on the three foundational steps that underpin the whole system: finding your content identity, locating what already works on YouTube, and using AI to turn that research into a script that sounds like you. The result is a content pipeline that starts with a daily email of outlier videos, passes through an AI analysis of what's working, generates a script in her voice using a proven hoo"
"In less than a month, she grew a new YouTube channel from 200 to 11,000 subscribers and earned $10,000 across a client retainer and channel revenue. The system she built is layered. Sandy describes it as seven AI agents and sub-agents."
"When she discovered Claude Code in late 2025, she didn't just use AI to write captions. She built a content system that automates the research, identifies winning videos, and generates scripts in her own voice."
Read at www.socialmediaexaminer.com
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