Common tropes and repetitive phrasing dominate stories produced by Large Language Models. Researchers identify specific linguistic idiosyncrasies that signal machine authorship, such as overused adjectives and predictable plot arcs. These findings help developers refine narrative coherence. Practitioners can use these markers to better evaluate the creative limits of current generative text models.