Sherpa 采用多智能体架构,为创意、结构、调研、文笔、审校分别配置独立 AI 智能体,并由独立的"Narrative World Model"追踪故事历史。通用 LLM 单窗口一次只响应 1 个 prompt,上下文窗口有限,无法记住 40 集前的伏笔,也难以持续吸引读者。
AI fiction reads like slop for several reasons:
> a chatbot answers 1 prompt at a time
> context windows are limited. has no idea what the story already promised 40 episodes ago.
> can’t keep readers hooked beyond a point
The difference is architecture. Sherpa runs separate agents for ideas, structure, research, prose and review, while a separate "Narrative World Model" keeps track of the story's history. A single chat window can't do that job.
Serialized fiction needs software that knows who's alive, who knows what and which places exist. General LLMs suck at exactly keeping all that together. This article breaks it down really well.
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来源:Rohan Paul · x.com