AI is the most powerful learning tool ever built — if you use it to build understanding, not just get answers. Ask for explanations anchored to what you already know, demand active recall, and use the model to catch gaps in your own reasoning.
The Feynman Technique works better with AI than it ever did alone.
I'm a backend developer comfortable with Docker: containers, images, volumes, docker-compose for multi-container apps. I've never used Kubernetes.
Teach me Kubernetes using Docker as the foundation. For every new concept:
After explaining:
Then quiz me: 3 questions to test if I actually understood. After I answer, tell me what I got right, what was partially right, and what was wrong with corrections.
I'm 28, have $12,000 in savings, deciding between a HYSA at 4.8% APY vs. a broad index fund (assume 7% avg annual return). Planning to leave it 25 years.
Explain compound interest using MY numbers:
After, give me the one mental model I can use for the rest of my life to quickly estimate whether compound growth is working for or against me (savings AND debt).
Then: ask me to explain compound interest back to you in one paragraph in my own words. Correct any errors.
Claude adapts explanation depth to your stated background and will push back on incorrect explanations. Explicitly ask it to 'point out any errors in my reasoning.'