 Among the basic competencies in linguistics is the morphological analysis of words in isolation or within text passages. And to be honest, today large language models such as chat GPT can perform both tasks reasonably well, the analysis of words and the analysis of text passages. Despite some inaccuracies, we can even ask more detailed questions about particular words. Again, reasonable, but at the same time debatable. Or take this prompt. Again the answer is superb. Should we therefore leave all aspects of morphological analysis to systems such as chat GPT? No. Take the analysis of the plural morphs in these five words. An analysis based on orthography alone misses important generalizations. We have to incorporate the phonemic structure of the respective items. Apart from some minor objections about the symbols, we can now look at the phonemic structure of the words and work out the generalizations involved. As we can see, large language models alone cannot provide the required help in all areas of morphological analysis. They need human assistance. Based on these observations, we can set up some recommendations with regard to morphological analysis that reasonably combine artificial intelligent text generators with human expertise. Start with the chat GPT phase. Step 1. Let the large language model perform a basic morphological analysis. Step 2. Apply more detailed prompts for fine-tuning. Then it's your task. Step 1. Use the chat GPT results and correct the mistakes. Step 2. Perform a morphophonemic analysis of the data by hand. Step 3. Compare your results with the chat GPT prompts. Undoubtedly, chat GPT is great when individual words have to be analyzed morphologically. However, the quality decreases with more detailed prompts. And as soon as complex text passages and phonemic data come in, the AI text generator should no longer be relied on. I hope these recommendations help. Thanks for watching.