Part 2/12:
Initially, Shapiro encountered significant frustration attempting to achieve desired scene progression through simple prompt engineering. Instead, he pivots toward a more robust approach: generating synthetic data through structured prompts to train a specialized model that better understands scene dynamics. This marks a crucial shift from trial-and-error prompting to deliberate fine-tuning, which promises greater consistency and control in narrative generation.