What AI is good at — and not
AI is powerful when you treat it as a fast, tireless assistant you still supervise. It's risky when you treat its output as automatically correct. Know the difference.
Good: first drafts
Brainstorming, outlines, placeholder copy, boilerplate code — great starting points to refine.
Good: assets
Quick images, icons, and mockups to fill a layout while you design.
Good: explaining
"Why isn't this CSS working?" AI is a patient tutor for concepts and error messages.
Risky: facts & accuracy
AI can sound confident and be wrong ("hallucinate"). Always verify facts, code, and sources yourself.
How to use AI well
- Be specific. Give context, the goal, constraints, and an example. Vague prompts get vague answers.
- Iterate. Treat the first reply as a draft — refine with "make it shorter," "more formal," "fix this part."
- Verify everything. Test the code, fact-check claims, and read it critically before you use it.
- Make it yours. Edit and adapt the output so it reflects your voice and meets the real requirement.
- Keep your judgment. You're responsible for the final result — AI doesn't understand your goal, you do.
Go deeper — two full lessons
These detailed lessons cover responsible AI use for real coursework and projects.
AI Tools for Images, Video & Websites
What AI is good at and not, and how to use AI image/video/site tools responsibly — a full class-session lesson.
Open the lesson →Ethics, Safety & Crediting Your Work
The ethics of AI, how to use it safely, and how to honestly credit AI assistance in what you turn in.
Open the lesson →AI Citation Cheatsheet
A printable quick-reference with copy-ready credit lines for AI text, images, video, music & code.
Open the cheatsheet →Use it responsibly
Do
- Use AI to learn, draft, and speed up — then refine
- Verify facts, code, and sources before trusting them
- Credit AI assistance when your class or job requires it
- Check you have the right to use AI-generated images
- Keep your own voice and understanding front and center
Don't
- Paste AI output as your own without reading or editing it
- Trust facts or code without testing them
- Put private or personal data into AI tools
- Ignore your school's or workplace's AI policy
- Let AI replace learning the fundamentals