Explain AI

Lessons

Follow a clear curriculum, or jump to the question you need answered.

The lesson library is organised around progression and learner intent, so you can either follow the recommended sequence or scan for the topic that matters right now.

Start with the structured 12-lesson path if you want a solid foundation. If you already know the question you need answered, use the topic groups below to find the right lesson faster.

Recommended sequence

A 12-lesson path that builds one idea on top of the next.

Each phase answers a different learner need. Start with orientation, move into model mechanics, then finish with prompting and trust.

Phase 1

Orientation

Start with the tools and terms people hear first, so later mechanics have a clear place to attach.

Best for learners who want the plain-language foundation before deeper model vocabulary.

  1. 4 min read

    What Is ChatGPT?

    Start with the tool people already know, then build outward from there.

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  2. 4 min read

    Why ChatGPT Became Popular

    See why this wave of AI felt different from earlier tools.

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  3. 4 min read

    What Does GPT Stand For?

    Translate the headline term into practical meaning.

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  4. 5 min read

    What Is a Large Language Model?

    Get the core mental model for the engine behind modern chatbots.

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Phase 2

How It Works

Build a usable model of prediction, tokens, memory limits, and the architecture that powers the answers.

Best for learners who want to understand cost, speed, limits, and why responses feel uneven.

  1. 5 min read

    How Do Chatbots Generate Answers?

    Learn how a chatbot constructs a response instead of looking one up.

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  2. 5 min read

    What Are AI Tokens?

    Understand the small text units that affect price, speed, and memory.

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  3. 5 min read

    What Is a Context Window?

    See why a model can only keep so much active context in view at once.

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  4. 5 min read

    What Is a Transformer?

    Get the architectural idea that made current language models possible.

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Phase 3

Using It Well

Connect the mechanics to judgment, prompting, trust, and source-grounded answers.

Best for learners who want more reliable outputs and better habits in real use.

  1. 5 min read

    What Is Attention in AI?

    Learn the mechanism that helps models decide what matters most in a prompt.

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  2. 6 min read

    Writing Better Prompts

    Apply the mental model to better instructions and clearer results.

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  3. 5 min read

    Why AI Hallucinates

    Understand why fluent answers can still be wrong.

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  4. 5 min read

    What Is RAG?

    See how grounding a model in source material improves trust.

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Browse by topic

Scan by learner intent, not just by title.

The featured lesson in each group is the best entry point. The supporting lessons stay compact so you can move quickly. Planned lessons are shown with quieter treatment.

Start here if you want the vocabulary to feel grounded quickly.

ChatGPT and AI Basics

This group explains the terms people hear first and puts them in plain language before you move into model mechanics.

Featured starting point

What Is ChatGPT?

The clearest starting point if you want one lesson that makes the rest of the library easier to place.

ChatGPT and AI Basics 4 min read
Start with this lesson

Available lessons

Go here if you want a more technical mental model without needing the maths.

How LLMs Work

These lessons explain prediction, tokens, memory limits, and the architecture ideas that shape cost, speed, and answer quality.

Available lessons

Use this group when you want better outputs from the tools you already use.

Using AI Well

This track focuses on practical prompting habits and the context you give a model before it answers.

Coming soon

  • Giving AI Context

    Planned to cover what background information improves output quality and what just adds noise.

    Planned next

Go here if you need better judgment about where AI is reliable and where it is not.

Limits and Trust

These lessons focus on error patterns, verification, and techniques that make answers more grounded.

Available lessons

Coming soon

  • What AI Cannot Do

    Planned to map the practical limits that still matter even when a model sounds fluent.

    Planned next

This group is for the later expansion into product, workflow, and implementation topics.

Building With AI

The core curriculum comes first. This category stays quieter for now while the foundation lessons are completed.

Planned expansion

Coming after the core curriculum

This topic group is intentionally quieter until the foundation lessons are complete. The planned lessons below keep the future direction visible.

Coming soon

  • Your First AI-Powered App

    Planned to show how AI features fit into real tools and workflows.

    Planned next
  • How AI Image Generation Works

    Planned to explain image models as a separate branch of the AI toolkit.

    Planned next