Using AI well: when to trust it, when to double-check
A short, practical guide to making AI your teammate, not your boss.
The big idea
The best way to use AI isn’t to ask it for the answer and walk away. It’s to use it as a really fast, slightly forgetful, very imaginative assistant, and stay in the driver’s seat.
Five jobs AI is great at
- Brainstorming. Coming up with 20 ideas in 5 seconds.
- Drafting. A rough first version you can edit.
- Explaining. Re-explaining something in simpler words.
- Summarizing. Squeezing a long thing into a short thing.
- Practicing. A patient tutor that never gets tired of your questions.
Five jobs AI is bad at (right now)
- Live facts. It might not know what happened yesterday.
- Counting and precise math. It guesses; calculators don’t.
- Citing sources. It can make up real-looking links.
- Personal opinions. Its “opinion” is just an average of everyone else’s.
- Being you. Your taste, your voice, your judgment, those are yours.
A simple checklist before trusting an answer
☐ Is this checkable? If yes, check it. ☐ Would I be embarrassed if this turned out to be wrong? ☐ Did the AI cite a source? If yes, did I open it? ☐ Am I using the AI to think faster, or to not think at all?
If the last box has you not thinking, pause. The AI is a tool. You are the toolmaker.
A scenario quiz
Quick check
- 1. You're writing a school report on your hometown's history. The AI gives you a date for when the town was founded. What should you do?
- 2. You need to multiply 7,419 × 312. Best move?
- 3. You're stuck on a creative writing prompt and need ten ideas. Good or bad fit for AI?
- 4. The single best mindset for using AI well?
Almost done
You’ve now got the core ideas down: tokens, prompts, temperature, embeddings, hallucinations, bias, and how to work with AI rather than against it. One module left, the part everyone is talking about in 2026: AI that doesn’t just answer, but actually does things.