AI slide tools: what actually matters when you teach from them

Every AI slide tool demos well. The demo is one prompt, one topic, one gorgeous deck. Teaching is a different test.

What matters

1. Does it start from your outline? The single biggest split in this category. A tool that takes your agreed sequence and formats it is a formatting tool, which is what you want. A tool that takes a topic and produces its own sequence has quietly replaced your lesson with its lesson.

2. Export fidelity. Can you open the result in the software your school licenses, on the machine in the classroom, with the fonts intact? A beautiful deck that only renders in the vendor's web app is a deck you cannot teach from when the network is slow.

3. Editability after generation. You will change something in the corridor five minutes before the lesson. Can you, or is every slide a fixed image?

4. Text density control. Generated decks default to paragraphs on slides — the worst possible form for a room. Look for whether you can force "six words maximum" and have it obeyed.

5. What it does with things it does not know. Ask for a deck on something genuinely obscure and see whether it says so or fabricates confidently. That behaviour will not change when the topic is your syllabus.

What gets advertised instead

Speed. "A deck in 30 seconds" measures the wrong thing. The relevant number is total time to a deck you would teach from, and that includes the editing.

Templates and visual polish. Real, and worth something — but a well-designed deck built on a badly-sequenced lesson is worse than a plain deck built on a good one, because it takes longer to notice.

A practical test before you commit

Take a lesson you have already taught and know well. Give the tool your existing outline. Compare what comes back to what you actually used. If it added content you did not want, that tells you more than any demo.