raycfu

raycfu publishes short breakdowns of AI systems built for content production and revenue, aimed at operators rather than engineers. The recurring structure in his material is the multi-agent pipeline: rather than asking one model to research, write, edit and direct, each role becomes its own agent and they run in sequence.

The part he emphasises is the scoring gate between stages. In the Claude Code system he walks through, a hook agent produces several variations, a separate manager scores each across five dimensions, and nothing advances until it clears the bar; individual lines are then scored on novelty and emotional intensity, with anything short of the threshold rewritten rather than shipped.

The upstream research step is equally mechanical — sweeping top-performing videos across keyword searches, mining pain points and direct quotes from discussion threads, and pulling high-engagement posts before a word is written.