Short answer: specificity is everything. The gap between a mediocre AI output and an excellent one is almost never the tool β it's the prompt. "Help me plan a maths lesson" produces generic filler. "Create 8 fluency questions and 2 reasoning questions on column addition for Year 3, using the method where we exchange ten ones for one ten, with an answer key" produces something you can nearly use as-is.
The four details that transform output
- Year group and level β pitches vocabulary and difficulty correctly
- Format β "as a table," "with an answer key," "as three tiered versions"
- Constraints β time limits, materials available, word counts
- The method you've actually taught β stops AI introducing an approach your class hasn't met
Build a library instead of starting fresh
When a prompt works well, save it. A personal prompt library β a simple shared doc, organised by subject or task β compounds in value over a term and is worth sharing across your year group. Our Prompt Library gives you tested starting points by role, and the subject-specific prompts guide goes deeper.