"Explain 'Chain-of-Thought (CoT) prompting'. Use the analogy of showing your work in a math problem versus just writing down the final answer."

"Why is asking 'Explain step by step' a more powerful way to learn than just asking for the answer? "

"Take the weak prompt 'Explain digestion' and rewrite it as a strong CoT prompt that demands a process, based on the examples in the text."

"Give me three different command phrases you can use to start a CoT prompt, as mentioned in section 7.4."

"Analyze the Algebra example for solving x² + 5x + 6 = 0. Explain how seeing the step-by-step process helps a student diagnose their own specific point of error."

"Act as a learning specialist. Explain the cognitive benefit of focusing on 'process first, answer second'. Why does this build more durable knowledge in the brain?"

"Design a 'Deconstruction Prompt Template.' The template should guide a student to ask an AI to break down any complex process (from a science experiment to writing an essay) into its core components, inputs, actions, and outputs."

"Create a challenge. Give me a complex, multi-step problem (e.g., a physics calculation). My task is to write the perfect CoT prompt to solve it. You will then act as the AI, execute my prompt, and critique the clarity and logic of my instructions."