Dear Sir, Artificial intelligence (AI), simply defined as intelligence demonstrated by machines, has rapidly captured the imaginations of many innovators including plastic surgeons. 1 In recent months, OpenAI’s Chat Generative Pre-training Transformer (ChatGPT) has taken the center stage of both AI and mainstream discussion. ChatGPT, an example of generative AI, creates human-like text responses to virtually any prompt or follow-up question. 2 Unsurprisingly, this has been met with a great deal of both hype and controversy. Here, we present an analysis of the quality of ChatGPT-generated microsurgery content, as well as general applications and pitfalls of ChatGPT for microsurgeons. ChatGPT has potential to streamline the clinical workflow. As plastic surgery is a field with a uniquely high proportion of elective procedures, microsurgeons may spend significant time in the process of shared decision-making. ChatGPT can improve provider efficiency by developing easy-to-understand educational resources for patients and answering associated follow-up questions. A sample frequently-asked question (FAQ) sheet generated by ChatGPT summarizing breast reconstruction with free tissue transfer is shown in► Fig. 1, covering subjects such as benefits, recovery, and complications. To assess the quality of patient-centered microsurgery content generated by ChatGPT, we asked ChatGPT to generate FAQ sheets for each “Common Microsurgical Procedure” listed by the American Society of Plastic Surgeons Web site. We then verified each question and answer on the FAQ sheet for accuracy and specificity. Questions with erroneous answers as compared with the current body of literature were counted as inaccurate, and answers that were not specific to the microsurgical procedure were counted as nonspecific. By these definitions, we found an average accuracy of 95.6%(standard deviation [SD]= 5.3%) and specificity of 67.8%(SD= 6.7%) for ChatGPT-generated microsurgery materials (► Fig. 2).