Learn AI, minus the jargon
Evergreen guides and explainers that take you from curious to AI-fluent.
All guides
How Much Does AI Cost?
What AI actually costs in 2025 — what the free tiers really give you, when subscriptions pay off, API pricing in plain terms, and the free-trap to avoid.
Updated October 28, 2025 · 1 min read
Is AI Safe to Use?
A practical safety guide to using AI — real risks (privacy, accuracy, scams) versus movie risks, and the six habits that keep you safe.
Updated October 28, 2025 · 1 min read
What is Machine Learning?
Machine learning explained without the math — how computers learn patterns from examples instead of rules, and why it powers spam filters and ChatGPT.
Updated October 28, 2025 · 1 min read
How to Spot AI Hallucinations
A practical checklist for spotting AI mistakes — the five tell-tale patterns of hallucinations and the two-minute verification habit that catches them.
Updated October 26, 2025 · 1 min read
What is Generative AI?
Generative AI explained for everyday people — what it is, how it differs from the AI in your email spam filter, and where you already use it.
Updated October 26, 2025 · 1 min read
Are AI Content Detectors Reliable?
Short answer — no, not reliably. How AI detectors work, why they fail, who gets hurt by false positives, and what to do instead of trusting them.
Updated October 25, 2025 · 1 min read
Which AI Chatbot Should I Use?
ChatGPT vs Claude vs Gemini vs Perplexity compared for everyday use — strengths, weaknesses and a simple rule for picking (and not paying too early).
Updated October 25, 2025 · 1 min read
How to Write Good AI Prompts
Practical prompt-writing for everyday people — a repeatable recipe for getting useful answers from ChatGPT, Claude or Gemini, with examples.
Updated October 24, 2025 · 1 min read
What is a Large Language Model (LLM)?
A plain-language explanation of large language models — how ChatGPT-style AI actually works, what it is good and bad at, in everyday words.
Updated October 24, 2025 · 1 min read
What is RAG (Retrieval-Augmented Generation)?
RAG explained simply — how AI chatbots look up facts in documents before answering, why it reduces made-up answers, and when it is used.
Updated October 24, 2025 · 1 min read