Experimenting with storyboard-planned AI cinematics instead of single-prompt generation

Lately I’ve been testing a different approach for AI cinematics where the system builds the sequence structure first, then generates shots individually instead of trying to create an entire film from one prompt. Used that workflow to make this Assassin’s Creed-inspired action sequence. The pipeline was roughly: * narrative beat breakdown * shot graph creation * scene-specific generation logic * automatic model selection depending on shot type * transition-aware sequencing * continuity handling between clips Certain shots are generated independently. Others carry information forward from previous scenes to preserve momentum and visual flow. One thing that surprised me was how much more coherent the final sequence felt once generation became sequence-aware rather than clip-aware. There are still obvious weaknesses: * identity drift during fast movement * environmental stability * interaction physics * preserving detail across aggressive camera cuts But it feels like the harder problem in AI video may eventually become coordination rather than raw rendering quality. Curious how people here think this evolves. If future models become capable of generating flawless long-form video instantly, will creators actually want that level of automation? Or does the creative value increasingly shift toward systems that let humans shape rhythm, structure, progression, and cinematic intent while the models handle execution?