Explain why answers became cheap and judgement became scarce
Use structured disagreement techniques with AI
Keep your own reasoning muscles in training
The value inversion
When answers are free and instant, the scarce skills are asking better questions, weighing trade-offs, and owning consequences. AI raises your floor; only judgement raises your ceiling.
Make the model argue against you
Techniques: ask for the strongest counter-argument to your plan; request a red-team list of failure modes; ask 'what evidence would change your answer?'. Adversarial prompting turns a yes-machine into a sparring partner.
Deliberate friction
Before asking AI, write your own 3-line answer first. Compare afterwards. This keeps your reasoning in training and exposes when you are outsourcing thought rather than labour.
Key terms
Judgement
Weighing trade-offs and owning consequences.
Red-teaming
Systematically searching for failure modes.
Adversarial prompting
Prompting the model to oppose your position.
Deliberate friction
Self-imposed effort that preserves skill.
🛠 Hands-on task: Sparring session
Tools: Chat assistant + notes
Write your own 3-line answer to a real decision you face.
Ask AI for the strongest counter-argument + failure modes.
Write your final decision and what changed your mind.
Key takeaways: Before you go, three takeaways from this lesson. One: Explain why answers became cheap and judgement became scarce. Two: Use structured disagreement techniques with AI. Three: Keep your own reasoning muscles in training. And your hands-on task: sparring session. Write your own 3-line answer to a real decision you face. When it is done, mark the lesson complete on your dashboard, keep the artifact for your portfolio, and step into the next lesson. I will see you there.
