I am not anticipating that any one model will do all of the work of story writing. I see potential for a set of task specific fine-tuned models to help with stuff like: paraphrase this / finish the scene / or something like make an analogy of highlighted text.
I’ve found that a “reverse summarizer” works very well for expanding on a block of text, which can then be expanded on again. Now I’m fiddling with controlled generation that has something equivalent to the “log” you mentioned, basically if you create a fine tuned model that is trained on all sections of story, if there is 1 tying element that connects the sections it keeps the output coherent.