Common tropes and repetitive phrasing dominate stories generated by Large Language Models. Researchers are now isolating these linguistic idiosyncrasies to understand how training data biases creative output. This analysis reveals a persistent lack of narrative spontaneity. Practitioners can use these findings to refine temperature settings and prompt engineering for more organic storytelling.