Before drafting, mapping what each scene is supposed to do structurally prevents the AI from generating filler or redundant material. When you tag scenes with their function and feed that schema into drafting prompts, the system produces more economical prose because it understands the purpose driving each moment.
Scene function tagging is a pre-prompting method where a writer labels each scene with its structural role, such as inciting incident, reversal, midpoint shift, or black moment, before asking AI to generate the content of that scene.
Without function tags, AI tends to write scenes that are locally coherent but structurally inert, and by anchoring each generation request to a named narrative job, writers ensure that individual scenes do meaningful work inside the larger story architecture.
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