AI has a jargon problem, and it gets in the way of actually using these tools. This glossary cuts through it. Below are 30 terms you will run into constantly in 2026, each defined in plain English with no hand-waving. Grouped by theme so related ideas sit together. Bookmark it and come back whenever a word trips you up. The basics Artificial Intelligence (AI) — Software that performs tasks we normally associate with human thinking, like understanding language or recognizing images. Machine Learning (ML) — A way of building AI by letting a program learn patterns from data instead of being given explicit rules. Model — The trained program that does the actual work. When people say "ChatGPT's model," they mean the underlying system that generates responses. Training — The process of feeding a model huge amounts of data so it learns patterns. This happens once, in advance, and is expensive. Algorithm — A set of step-by-step instructions a computer ...
A good prompt is the difference between a generic answer and a useful one. Below are 20 prompts we actually use every week, grouped by category. Each is copy-paste ready — just swap in the bracketed details. Pro tip: give ChatGPT context about you and your goal, and it gets dramatically better. Replace anything in [brackets] before you send. Work & email "Rewrite this email to be polite but firm, and 30% shorter: [paste email]." — Tightens rambling messages without losing the point. "Summarize this thread into 3 decisions made, 3 open questions, and who owns each: [paste thread]." — Turns a messy email chain into an action list. "Act as a skeptical reviewer. Read my proposal and list the 5 weakest points someone could attack: [paste]." — Stress-tests your work before your boss does. "Draft 3 reply options to this message: one warm, one neutral, one that declines firmly: [paste]." — Gives you tone choices for tricky replies. ...