Back to Blog

I Stopped “Studying” and Started Talking to AI Like a Curious Kid

Cameron Shields
Uncategorized
I Stopped “Studying” and Started Talking to AI Like a Curious Kid

Using the Feynman Technique with Instructions to Truly Learn

Most learning fails for one simple reason:

We confuse familiarity with understanding.

We read. We watch. We highlight. We nod along.

But when asked to explain the idea clearly — we freeze.

The Feynman Technique, combined with clear, structured instructions, solves this by forcing real thinking instead of passive consumption.


The Core Principle of the Feynman Technique

Richard Feynman, one of the greatest physicists and teachers of all time, believed:

If you can’t explain something simply, you don’t understand it well enough.

So instead of asking:

“Can I recognize this information?”

We ask:

“Can I teach this to a child?”

This single shift transforms learning.


Why Instructions Matter

Most people try the Feynman Technique once, vaguely, and quit.

Why?

Because thinking is hard, and without guidance, we naturally slide back into memorization.

Clear instructions act like:

  • guard rails
  • mental training wheels
  • thinking scaffolding

They prevent us from cheating ourselves.

Good instructions:

  • force simplification
  • expose confusion
  • slow thinking down
  • guide refinement

Without instructions, we drift.
With instructions, we train.


The Learning Loop: Feynman Technique + Instructions

Here’s the structured loop that turns information into understanding.


Step 1: Choose a Small Idea

Not:

“Learn physics.”

But:

“Understand what force actually means.”

Small ideas allow deep focus.

Think:

One brick, not the whole building.


Step 2: Explain It Like You’re 12

Instruction:

“Explain this using only simple words, real-life examples, and analogies.”

This forces:

  • clarity
  • simplicity
  • real understanding

If jargon sneaks in, it means:

You’re hiding confusion behind big words.


Step 3: Identify the Weak Spots

Instruction:

“Highlight everything that feels vague, fuzzy, or hand-wavy.”

These weak spots are:

  • the exact places where learning should happen

Confusion is no longer failure —
it becomes a learning signal.


Step 4: Ask Targeted Questions

Instruction:

“What part of this would confuse a beginner most?”

Then:

“Why does this part work that way?”

This step transforms:

  • memorisation → comprehension
  • recall → reasoning

Step 5: Refine the Explanation

Instruction:

“Rewrite this explanation using fewer words, clearer images, and better analogies.”

Each refinement cycle:

  • removes complexity
  • sharpens intuition
  • strengthens memory

If it doesn’t get simpler, you’re not done.


Step 6: Stress-Test Your Understanding

Instruction:

“Apply this idea to a new situation.”

If understanding is real:

  • you can adapt it
  • you can transfer it
  • you can teach it

If it’s memorised:

  • it collapses outside familiar examples

Why This Works (A Simple Analogy)

Think of learning like building muscle.

Reading is watching workout videos.
Memorising is lifting fake weights.

Explaining is real resistance training.

The Feynman Technique creates:

  • mental resistance
  • productive struggle
  • cognitive effort

That effort is where learning grows.


The Role of AI in This Process

AI becomes powerful when it does not explain, but instead challenges your explanations.

Used properly, AI becomes:

  • a patient listener
  • a confusion detector
  • a simplification coach

Instead of:

“Explain this to me”

Try:

“Help me explain this clearly and show me where my thinking breaks.”

This turns AI into a thinking partner, not a knowledge dispenser.


The Real Goal: Intuition, Not Information

True learning feels like:

“Oh. Of course it works that way.”

Not:

“I memorised the steps.”

When understanding is real:

  • you can reason forward
  • you can reason backward
  • you can invent explanations
  • you can adapt ideas

That’s mastery.


The One-Line Learning Rule

If you can't explain it simply, you haven't learned it yet.

Everything else is detail.


Final Mental Model

Think of learning like carving a sculpture.

You start with a rough block of stone (confusion).
Each explanation removes excess material.
Each refinement reveals clearer shape.

Eventually:

The idea becomes obvious.

And obvious is the highest form of understanding.

The Prompt

<System>
You are a brilliant teacher who embodies Richard Feynman's philosophy of simplifying complex concepts. Your role is to guide the user through an iterative learning process using analogies, real-world examples, and progressive refinement until they achieve deep, intuitive understanding.
</System>

<Context>
The user is studying a topic and wants to apply the Feynman Technique to master it. This framework breaks topics into clear, teachable explanations, identifies knowledge gaps through active questioning, and refines understanding iteratively until the user can teach the concept with confidence and clarity.
</Context>

<Instructions>
1. Ask the user for their chosen topic of study and their current understanding level.
2. Generate a simple explanation of the topic as if explaining it to a 12-year-old, using concrete analogies and everyday examples.
3. Identify specific areas where the explanation lacks depth, precision, or clarity by highlighting potential confusion points.
4. Ask targeted questions to pinpoint the user's knowledge gaps and guide them to re-explain the concept in their own words, focusing on understanding rather than memorization.
5. Refine the explanation together through 2-3 iterative cycles, each time making it simpler, clearer, and more intuitive while ensuring accuracy.
6. Test understanding by asking the user to explain how they would teach this to someone else or apply it to a new scenario.
7. Create a final "teaching note" - a concise, memorable summary with key analogies that captures the essence of the concept.
</Instructions>

<Constraints>
- Use analogies and real-world examples in every explanation
- Avoid jargon completely in initial explanations; if technical terms become necessary, define them using simple comparisons
- Each refinement cycle must be demonstrably clearer than the previous version
- Focus on conceptual understanding over factual recall
- Encourage self-discovery through guided questions rather than providing direct answers
- Maintain an encouraging, curious tone that celebrates mistakes as learning opportunities
- Limit technical vocabulary to what a bright middle-schooler could understand
</Constraints>

<Output Format>
**Step 1: Initial Simple Explanation** (with analogy)
**Step 2: Knowledge Gap Analysis** (specific confusion points identified)
**Step 3: Guided Refinement Dialogue** (2-3 iterative cycles)
**Step 4: Understanding Test** (application or teaching scenario)
**Step 5: Final Teaching Note** (concise summary with key analogy)

*Example Teaching Note Format: "Think of [concept] like [simple analogy]. The key insight is [main principle]. Remember: [memorable phrase or visual]."*
</Output Format>

<Success Criteria>
The user successfully demonstrates mastery when they can:
- Explain the concept using their own words and analogies
- Answer "why" questions about the underlying principles
- Apply the concept to new, unfamiliar scenarios
- Identify and correct common misconceptions
- Teach it clearly to an imaginary 12-year-old
</Success Criteria>