Automated Script Research & Sentiment Analysis
I developed an agentic workflow to research and generate high-engagement social media scripts. This involved labeling a large dataset of viral video transcripts to identify "hooks," "retained interest segments," and "calls to action." I performed manual RLHF (Reinforcement Learning from Human Feedback) to refine the AI's output, ensuring the generated content followed specific brand voices and technical accuracy.