If the initial output from NotebookLM is not exactly what your students need, what iterative step should you take?
If the initial output is not exactly what your students need, you should type a follow-up instruction in the prompt bar to refine the results, such as asking for simpler vocabulary.
When you use an AI tool like NotebookLM, the first response is rarely a finished product. Instead of scrapping the text or spending hours rewriting it by hand, treat the AI like a teaching assistant you can talk to.
If the reading level is too high or an explanation misses the mark, simply tell it what to change. Typing a quick follow-up prompt—like asking the system to use easier words, shorten the paragraphs, or add a real-world example—prompts the AI to revise its previous answer. This back-and-forth approach saves you from starting over from scratch and quickly customizes the lesson material to match your classroom’s exact needs.