A new analysis of LLM storytelling reveals recurring tropes and structural idiosyncrasies in AI-generated fiction. The study identifies specific linguistic patterns that distinguish synthetic narratives from human writing. These findings help researchers build better detection tools. Practitioners can use these insights to refine prompting strategies and reduce predictable narrative arcs in creative workflows.