Ask AI to explain any concept at three levels — simple analogy, how it works, and strategic depth — then deploy the version that matches where your student currently is.
Paste an existing lesson into AI and ask for a 150-word "Going Deeper" section — advanced students get more depth, the lesson stays intact, and nothing needs to be rewritten from scratch.
Write your core content once, then use AI to generate variations — different examples, reading levels, or formats — so personalisation takes minutes rather than hours of extra work.
Tell AI your course levels and what distinguishes them, then ask for a five-question self-assessment with a scoring guide — students self-select the right starting point before the course begins.
Build scaffolding as optional support beside the main lesson — worked examples and checklists beginners access when needed — so advanced students aren't held back by content they don't need.
Ask AI for one extension task per module at the end of each content session — these optional advanced challenges keep fast movers engaged without requiring you to build a second course track.
For solo educators, personalisation means giving students meaningful choices within a shared structure — not separate curricula. AI makes those choices fast to design and easy to manage.
Use AI to design a short intake survey, then bring the responses back for AI to synthesise patterns — you'll understand your cohort's learning preferences before the first session starts.
Give AI your lesson topic and two audience descriptions — beginner and advanced — and it will write both versions simultaneously for you to review and deploy.
Write your core lesson for beginners, then use AI to add a "Going Deeper" sidebar for experienced learners — one lesson that serves both levels without doubling your workload.