LLMs frequently repeat specific tropes and linguistic quirks when writing fiction. Researchers and hobbyists are now documenting these idiosyncrasies to better understand model biases. This analysis reveals how training data constraints limit creative variety. Practitioners can use these findings to refine prompting strategies and reduce predictable narrative arcs in synthetic storytelling.