How I use LLMs to learn complex topics

TL;DR Highlight

Having an LLM build and fact-check notes, then a simulation game, helped the author learn chip manufacturing

Who Should Read

A developer whose LLM bullet-list explanations don't stick and who wants a better way to learn a new field

Core Mechanics

Build a simulation instead of asking for an explanation
- The author found LLM explanations too simplistic and hard to follow.
- So they tried a game-like approach where concepts map to objects.
Four-step flow
- In plan mode (Claude Code or OpenCode), ask the model to build foundational knowledge on the topic.
- Ask it to review that knowledge for accuracy, then build a low-poly, Rollercoaster Tycoon-style simulation.
- Finally push it to a new repo and enable GitHub Pages.
Add UX requirements up front
- Ask for support for both large and small screens.
- Ask for controls to stop the flow at any time.
The result is ChipTycoon
- You follow a cart from sand collection to a finished chip delivered to a data center.
- Low-poly loses detail but still shows how the product changes at each step.

Community Reactions

Many pushed back on the accuracy claim
- Several commenters said having AI review its own work doesn't guarantee 100% accuracy.
- Others said a first-time learner can't honestly make that claim.
Socratic dialogue worked for one user
- One commenter treated Claude as the expert and themselves as the student, chatting in voice mode on walks.
- They limited it to single-sentence questions and had it answer yes/no to their own derivations.
- For math they asked for a Brilliant.org-style interactive demo.
A structured learning loop worked for another
- One user uploaded trusted textbooks and papers, set learning goals, and had the LLM build a learning path.
- They took an entry test, then iterated small theory, task, and test steps, logging mistakes into the next round.
Critics called it memorization, not understanding
- One said it doesn't build mental models like constraints, why X over Y, or scaling behavior.
- Another said ChipTycoon isn't really a simulation, the animation adds little, and the text quality is low.

How to Apply

Build a knowledge base for a topic today
- Pick one technology to learn and have a model write foundational notes in plan mode.
- Ask the same model to review them, then verify key facts against official docs yourself.
Spell out UX requirements in the simulation prompt
- Specify large and small screen support and a pause control.
- Publish to GitHub Pages and share the link with your team.
Add a quiz step to the simulation
- Ask for questions about the previous step after each step.
- Log wrong answers and feed them into the next session.

Try It

copy & run

# Paste into Claude Code (plan mode) or OpenCode — the article's flow as a prompt

Topic: {{topic to learn}}

Step 1: Write foundational knowledge about this topic, step by step.
Step 2: Review the above and mark anything wrong or uncertain.
Step 3: Build a low-poly, Rollercoaster Tycoon-style web simulation of this topic. It must work on large and small screens and have controls to stop the flow.
Step 4: After each step, add a quiz about the previous step.

Next: push the result to a new repo, enable GitHub Pages, and check the uncertain facts from step 2 against official docs.

Terminology

plan modeAn agent mode that makes a plan before writing code. Like drawing the blueprint first.

Rollercoaster Tycoon styleA top-down management-sim look where small objects move around on screen. You watch the process unfold.

low-polySimple 3D graphics using few polygons. Detail is reduced but overall shape and flow remain visible.

GitHub PagesA free GitHub feature that hosts a repo's static pages as a website.

Skill.MDA file of instructions telling an agent how to do a specific task. The author made one for learning animations.