AI can read through your entire course and tell you where the learning path breaks down. You design the logic. AI audits whether your students will follow it.
The Module Flow Check
Paste your course outline into Claude or ChatGPT and ask: “I’m teaching [topic]. Here are my modules in order. [List them]. For each module transition, tell me: (1) What skill does the student need from the previous module to understand this one? (2) Do I explicitly teach that skill? (3) Is there a gap where students might get stuck?”
AI will read through your outline and identify places where you’ve assumed knowledge that you never taught. Maybe Module 4 assumes students understand video editing from Module 2, but you never actually taught that. Now you know. It’s like having a teaching assistant who reads your syllabus and says, “Wait, you lost me here.”
Testing the Student Journey
The best flow check is temporal. Ask AI: “If a student completes Module 1, what should they be able to do? Now, does Module 2 build directly on that, or does it jump to something new?” This forces you to articulate what success in each module looks like—and whether the next module actually requires it.
You can also ask AI to role-play as a student. “You just completed [Module 1 summary]. Can you explain what you’d expect to learn in Module 2?” If AI’s expectation doesn’t match your Module 2 content, there’s a flow problem.
What This Means for Educators
Course logic breaks because you lived with your material. You know where things connect because you designed them. Your students don’t have that context. AI doesn’t have your context either—which is exactly why it’s useful. It reads your course like a student would: linearly, without assumptions.
Run Your Flow Check This Week
Write out your module titles and a one-sentence summary of each. Paste it into Claude with the flow-check prompt above. Read what it finds. Those gaps are real. They’re just invisible to you because you wrote them.