Yes — give AI one concept and ask it to explain it at two or three complexity levels. It will produce a simple version, an intermediate version, and a detailed version in a single response.
Why the Same Concept Needs Different Explanations
Most concepts in a course on AI or online teaching can be understood at multiple depths. A beginner needs to know what a thing is and why it matters to them. An intermediate learner wants to understand how it works. An advanced learner wants to understand the edge cases, the tradeoffs, and how to use it strategically. All three are valid understandings of the same concept — they just serve different stages of learning.
Think of how a good doctor explains a diagnosis. To a patient, they use plain language and focus on what it means for daily life. To a medical student, they explain the mechanism. In a journal article, they cover statistical nuances and edge cases. The topic is identical. The explanation shifts to match the audience. AI can do this for your course content in seconds.
How to Prompt for Multi-Level Explanations
The simplest approach: “Explain [concept] at three levels. Level 1 is for someone who has never heard of this before — use a simple analogy. Level 2 is for someone who understands the basics and wants to know how it works. Level 3 is for someone who already uses this regularly and wants to understand it more strategically.” Claude handles this structure well and labels each level clearly in the output, making it easy to cut and paste the right version into the right context.
You can also do this retroactively on explanations you’ve already written. Paste your current explanation and ask: “This is written at an intermediate level. Write a simpler version for complete beginners using a concrete analogy, and a more detailed version for experienced users that covers the underlying mechanism.” Two minutes of prompting upgrades your existing content to serve three different student types instead of one.
What This Means for Educators
Multi-level explanations are one of the clearest signals of teaching quality. When a student at any level reads your content and thinks “that actually makes sense to me,” you’ve earned their trust. When they feel like the explanation was too simple or too dense, you’ve lost it — at least for that concept. AI lets you calibrate explanations to match your actual students rather than to your own unconscious expertise level, which is one of the most common sources of confusion in educator-created courses.
The Simple Rule
Ask AI to explain any concept at three levels — analogy, mechanism, strategy. Use the level that matches where your student is. Keep all three in your content library for the next time the same concept comes up in a different context.