AI Basics

AI, LLM, and agent get used as if they mean the same thing — they don't. A plain-English untangling of the words everyone throws around, for total beginners.

'Learning AI' isn't one thing. Figure out whether you want to use it, understand it, or build with it — and why most beginners pick the wrong one.

An LLM doesn't look up answers — it predicts the next words, like a remarkably well-read improviser. The one idea that explains all its quirks.

You already use AI — but what's it genuinely built for? A clear map of where it shines, where to stay cautious, and the talks-vs-does line, for everyday users.

Why AI forgets you, drifts in long chats, and re-breaks corrections — one tidy idea explains all of it: it only knows what's in front of it right now.

Most 'bad AI answers' are really bad prompts. Learn the one repeatable habit — role, task, target — that gets great results the first time, no magic words.

ChatGPT, Claude, Gemini, Copilot, Grok, Perplexity — the big AI tools explained in one line each. Who's known for what, so you can pick one and start.

Confused whether AI is a flat monthly fee or 'pay per token'? Both are real — they're different products. A plain guide to how you pay for AI, for beginners.

AI doesn't only handle words — it makes images, voices, music, video, and working code. The surprising part: it's all one trick. A plain tour for beginners.

An AI agent vs. a chatbot, in plain English: one talks, one acts. The real difference is a single shape — a straight line versus a loop with hands. No code.

AI sounds just as confident when it's wrong as when it's right. How to spot AI hallucinations, fact-check answers, and verify before you trust — for beginners.

A plain-English AI glossary — what tokens, neural networks, training, parameters and multimodal actually mean. Recognition, not math; totally optional.