A new analysis of LLM-generated stories reveals recurring linguistic tropes and predictable plot structures. These idiosyncrasies emerge from training data biases and reinforcement learning constraints. The findings suggest that current models struggle with genuine narrative novelty. Writers should expect repetitive thematic loops unless they employ highly specific, constrained prompting techniques to break these patterns.