Polimi PSSD · AI for Social Transformation Design
Working with AI:
field notes
The short version of what I’ve learned helping students use generative AI well. Tips and insights — not prompts. Play first, then purpose.
A few truths
- AI is (probably) inevitable. It’s being baked into Office, Google Docs, Canva, Miro — it will be hard to escape.
- It keeps accelerating. It might “plateau” soon — I wouldn’t bet on it.
- Most people are afraid of it — and not very good at it. The fear prevents the play that builds the skill.
- It raises the ceiling. Everyone can code now. It’s mostly an attitude.
- New learning goals. Authenticity, curiosity, intrinsic motivation. Experiment as much as you can.
How to work with it
- It’s up to you. AI augments you; it isn’t autonomous. Bad results? Assume there’s a better prompt.
- Be specific. Vague questions get generic answers.
- Play with it. Effective use comes from intuition — and intuition comes from play.
- Vibe, don’t engineer. “Prompt engineering” is too left-brained. Vibe with it.
- Crap begets crap. A lame reply poisons the ones after it. Edit your input until quality returns.
- Quality breeds quality. Prime it with rich context before you ask the real question.
- Start fresh. New chat per task — quality degrades over a long thread.
- Don’t turn your brain off. Give it your own ideas; it thinks better. And it can’t finish the job — the last 10% is half the work.
- Ask it what it’s planning before it does it, so you can steer.
For you, the designer
- Think critically. Assume anything it says could be false — perspective, not truth. Verify.
- Be authentic. Tell it your real purpose. Use it to figure out what you actually want.
- Have integrity. Know what you want to say. Don’t cite what you haven’t read.
- Own the outcome. Like a camera — you didn’t paint the pixels, but you framed it, and you own it.
- AI makes parts, not wholes. Copy the good selections, not the whole.
- Edit extensively. Learn what “sounds like AI” means — and cut it.
- Start early. It doesn’t make you faster; it makes it easier to start.
- Don’t be lazy. Supplement your thinking, don’t replace it. Raise your own standards.
Eight things people get wrong about AI
These are the common misconceptions — each one is worth questioning. Usually the truth is more interesting than the fear.
- AI is not magic
- Using AI effectively requires a technical background
- You can’t just use AI; first you need to understand how it works
- You shouldn’t treat AI like a person
- AI saves time, but reduces quality
- AI is bad for the planet
- AI is bad for designers
- AI is bad for learning
What AI does that’s annoying — and the 90/10 paradox
The paradox: it can do 90% of the work — but the last 10% of a project is usually 90% of the work. Don’t wait till the end.
- Thinks it can’t do something
- Talks too much
- Loses the plot
- Context rot
- Confident mistakes
- Sycophancy
- Slop
- Fluff
- Generic
- Makes you think you’re getting work done
Students who’ve done it
- “It was good to get started. You have to use your brain to finish it.”
- “It’s great to put words to what you already thought.”
- “Use it as inspiration, not just an answer.”