The author shares their goal of reading a book per month and describes their cozy reading routine. They express an interest in using artificial intelligence (AI) to summarize books that they won't have time to read for a while. They decide to test ChatGPT, a text prompt chat tool, to summarize the book "Deep Work" by Cal Newport. However, they encounter challenges due to plagiarism protections and the need for prompt engineering and independent research. They discuss their efforts to extract key insights and strategies from the book and how they struggled to receive specific and valuable advice from ChatGPT.

They eventually find some useful concepts, such as batching shallow work and the idea of a compelling scoreboard. They conclude that using ChatGPT for book summaries requires browsing reader summaries and combining them with AI prompts, which may consume significant deep work time. Additionally, the accuracy of the AI-generated summaries may be questionable. The author questions whether using AI summaries aligns with the purpose of reading books about deep work.