Skip to content

AI Guides & Articles

RSS feed

Original, plain-English writing on how AI works and how to use it well — no copied tutorials, no filler.

AI Guides

How to Learn AI as a Beginner: A Realistic Roadmap

No maths degree, no coding background — a practical order to learn AI in, and an honest note on what each stage actually gets you.

AI Guides

How to Use AI for Studying (Without Cheating Yourself)

AI can genuinely accelerate learning — or quietly replace the thinking that makes learning stick. The difference is in how you use it.

AI Guides

Is AI Safe? Real Risks vs. Hype

Separating the risks worth thinking about today from the science-fiction framing that dominates headlines.

AI Guides

How to Fact-Check AI Output (A Practical Method)

A repeatable process for checking AI-generated claims — including which parts to check first when you don't have time to check everything.

AI Guides

What Is a Neural Network? A Simple Explanation

The term behind almost every AI headline, explained without the math — using a mental model that actually sticks.

AI Guides

AI Hallucinations: Why AI Makes Things Up (And How to Catch It)

AI systems can state false information with total confidence. Here's why that happens and how to protect yourself from it.

AI Guides

What Is Fine-Tuning, and Do You Actually Need It?

Fine-tuning gets mentioned a lot in AI discussions, but most people using AI tools never need it. Here's what it actually does.

AI Guides

What Is RAG? How AI Answers Questions About Your Own Documents

RAG is how AI tools answer questions about specific documents they were never trained on. Here's how it actually works.

AI Guides

How Does AI Actually Work? A Plain-English Explanation

No math background required: here's what's actually happening when you send a message to an AI system and get a reply.

AI Guides

LLM vs AI vs Machine Learning: What's the Difference?

These terms get used interchangeably in headlines, but they mean different, nested things. Here's how they actually relate.