Metacognition (9/9 Thinking Fast & Wise with AI)

Don’t just think faster—think wiser with AI. Our final three prompts build antifragile ideas, learn with retrospectives, and align human-AI metacognition to a higher purpose.

Kia ora, Namaskaram 🙏🏾

For our grand finale, we’re celebrating the skill that ties everything together: Human-AI metacognition — thinking about thinking with AI.

• Human metacognition is intrinsic. We reflect, monitor, and regulate thought. We may ask, “Am I doing the right thing?” Beyond this, we have the capacity to ask, “Am I aware of what the right thing is?” or “Should I ask others what they think?”

• AI metacognition (based on what we know about LLMs so far) can be trained by prompting AI to flag uncertainty or low confidence to human users. But remember, LLMs inherently don’t care about doing the right or wrong thing.

• Human–AI metacognition is where AI can strengthen our thinking (when we ask reflective questions) or weaken it (when we offload critical thinking). Ethics, purpose and meaningful collaboration hinge on getting this balance right.

Here’s what you’ll get:

✅ Short video lesson: System 1 versus System 2 thinking with AI
✅ Notion Starter Kit (#9 of 9): Three metacognition prompt cards with examples
✅ Three prompts: Train AI as your metacognition partner

---

📹 Short Video Lesson

 “   But now that sort of thinking can be outsourced to AI and the thinking which is gonna become more and more valuable  is our System One thinking, which is our more emotional automatic thinking”

— Vishal George (recording from the AI Playbook for Human-Centered Design course)