IMO this seems like exactly the use cases where AI fails consistently: engaging storytelling and finding the simplest solution to a problem. For example, LLMs are really good at generating walls of code that will run but don't really have good taste in architecting a solution. When I use them for coding I will spend time thinking of a good high-level approach and then use LLMs to fill in the more boilerplate style code