The correct option is Prompt chaining. The novelist uses the character profiles produced by the first prompt as context for the next instruction to write the opening chapter about Mara Windrunner, which is exactly how chaining connects successive prompts.

Prompt chaining links tasks so that the output of one step becomes the input or context for the next step. Creating several hero profiles and then instructing the model to write a chapter about one of those heroes shows a clear multi step flow where the earlier result guides the subsequent generation.

Role prompting asks the model to adopt a specific persona or function such as an editor or a creative writing coach. The scenario does not set a role and instead uses prior output to drive the next step, so Role prompting does not describe what is happening here.

Zero-shot prompting asks the model to perform a task without providing examples. The second instruction depends on previously generated profiles and therefore is not a pure zero shot request, so Zero-shot prompting is not the best description.

Metaprompting focuses on writing prompts about how to prompt or on having the model generate prompts or self instructions. The novelist is not asking the model to create prompts about prompting, so Metaprompting does not fit this workflow.

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