AI has become a reading companion for summer book lists, helping track plots, characters, and themes, and making dense prose more manageable. This matters because fragmented reading habits—a few pages before bed, a chapter at the beach—make it easy to lose the thread, and AI can help readers pick it back up without restarting. The author used AI extensively while reading James Fenimore Cooper's "The Last of the Mohicans," finding the text too dense for casual vacation reading. The first prompt requested a chapter-by-chapter guide that could explain what was read and where the story is, without spoilers or getting ahead of progress. The AI agreed, noting "Cooper's sentences are long and his diction is archaic," and promised recaps and clarifications strictly limited to what had been read. This became part of the author's routine: telling AI where they stopped and asking for a spoiler-free recap, which often surfaced missed or forgotten details. However, a reality check reveals AI works from training data, not the actual text, so details can be wrong despite right vibes. After reading James Jones' "The Thin Red Line," AI confused Captain Stein with Captain Staros, the corresponding character in the movie adaptation. A pro tip is to tell AI to find the online text for public domain books, like "The Last of the Mohicans" via Project Gutenberg, for more accurate answers.