A fluent answer can still miss the point. To get better work from AI, give it a destination it can test, then inspect the result yourself.
1. Start with the outcome
Describe the person you want to help and what should be different when the work succeeds. “Write something” leaves the goal invisible. “Help a parent compare two evidence-based ways to protect sleep without losing important connections” gives the assistant a useful direction.
2. Show the standard
Give a good example, a rejected example, or a short explanation of what you would consider a failure. Hidden preferences become visible when you say why an output did not work. Ask the system to list what it still needs to know rather than filling gaps with confidence.
3. Test the result outside the chat
Open the page. Try the game. Check the cited paper. Ask another person to use the product without coaching. An AI-generated answer is a proposal until the intended person can use it and the important claims survive inspection.
4. Let the system challenge your idea
Invite a counterexample. Ask which assumption is doing the most work. If the answer concerns health, money, law, or safety, use appropriate qualified sources and expert review. An AI critic can expose a weakness, but it can invent one too—check the criticism against evidence.
“I want to help [person] achieve [outcome]. Here is the context and a good example. Tell me what is missing, propose two approaches, state what would disprove each, and give me the smallest real-world test.”
That approach is one practical companion to the book’s larger question: is the answer merely attractive, or did it help us get somewhere worth going?
