A practical AI field guide

Learn what AI tools are actually doing.

Start with ChatGPT, then build a working mental model for tokens, context limits, prompting, hallucinations, and source-grounded answers.

Positioning

For people who want useful intuition, not hype.

Explain AI should feel like a well-edited technical guide for non-specialists. The site needs enough polish to feel trustworthy, but enough restraint to avoid looking like a generic AI landing page.

The design system should make the learning path, definitions, examples, and recap moments easier to follow. Decoration should earn its place by making structure visible.

Syllabus preview

Move from everyday tools to reliable judgment.

Core model concept

What are tokens?

See why small pieces of text affect cost, speed, memory, and answer quality.

Read guide

Trust and limits

Why AI hallucinates

Learn why confident answers still need checking, and what reduces the risk.

Read guide

Source-grounded answers

What is RAG?

Learn how trusted source material can make answers more grounded.

Read guide

Lesson page model

Teach with examples, not visual tricks.

Long-form lessons should feel like calm technical reading. Use short sections, direct analogies, and simple diagrams that explain the idea without adding noise.

Concept preview

Think of context like desk space.

A model can only keep so much information in view at once. If the desk gets crowded, something has to move out before something new can fit.

Question
What the learner asks
Examples
Useful reference material
Rules
Instructions the model should follow

Course material

A lesson page should feel like focused reading.

Course pages can use the same dark field-guide system while giving the lesson text a quieter, more readable column.

Lesson 1 ยท 8 min read

What is ChatGPT?

ChatGPT is an app that lets you talk to an AI model in plain language. The important part is not the chat box. It is the model behind it.

Think of it like a very fast writing partner

You give it words. It predicts useful next words based on patterns it learned from training data. That means it can explain, summarize, draft, compare, and reason through many everyday tasks.

Articles and blog

Room for timely ideas, not just course lessons.

The same design should support explainers, opinionated guides, tool breakdowns, classroom resources, and updates without making everything feel like a course module.

Featured article

Why AI answers sound confident when they are wrong

A plain-English guide to hallucinations, uncertainty, and the checks that make AI more useful in real work.

Read article
Guide

How to write a prompt that gives enough context

Explainer

What changed when models got bigger context windows?

For teachers

A simple classroom activity for explaining tokens

Reference layer

Definitions should be fast to compare.

Token

A small piece of text a model reads or writes.

Context window

The amount of information a model can keep in view.

RAG

A pattern that gives AI trusted source material before it answers.