Aim <p>Health education for patients suffering from tachyarrhythmias—disorders of the heart characterized by abnormally high heart rates and abnormal rhythms—is very important, as these disorders can result in high rates of morbidity and mortality. With the rise of artificial intelligence (AI) in healthcare, tools such as ChatGPT and Google Gemini can help generate patient education guides.</p> Subject and methods <p>Patient education guides were generated for three diseases, namely atrial fibrillation, ventricular tachycardia, and supraventricular tachycardia. The guides were assessed for variables including word count, sentence count, average words per sentence, average syllables per word, grade level and ease score (using the Flesch–Kincaid calculator), similarity percentage (using QuillBot), and reliability score (using the modified DISCERN score).</p> Results <p>The analysis revealed a statistically significant difference between the sentence counts generated by the two AI tools, with ChatGPT generating responses containing higher numbers of sentences. There were no statistically significant differences between the remaining variables.</p> Conclusion <p>The results show that ChatGPT generates responses that contain a significantly higher number of sentences in comparison to Google Gemini due to its inherent capacity and not by chance.</p>