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That sort of thing can be handled by the framework outside of the AI's literal context window. I did some tinkering with some automated story-writing stuff a while back, just to get some experience with LLM APIs, and even working with an AI that had only a few thousand tokens' context I was able to get some pretty decent large-scale story structure. The key is to have the AI work in the same way that some human authors do; have them first generate an outline for the story, write up some character biographies, do revisions of those things, and only once a bunch of that stuff is done should it start writing actual prose.
I'm familiar with that. Not in quite that way because our app is for roleplaying where there isn't a prewritten story but we use a database to pull relevant info into context. You can definitely help it, but you need author chops to do it well.
Which means maybe this is a tool that could help good writers write faster, but it won't make a poor writer into a good one. If for no reason other than you need to know how to steer and correct the output.