Describe what you observed — student questions, confusion patterns, drop-off points — to Claude, and ask it to diagnose what's wrong with your sequence and suggest specific adjustments for the next run.
Give AI your module titles and overall course outcome, and ask it to write specific "by the end of this module, students will be able to..." statements — real tasks, not vague understanding.
Tell AI your outcome and time constraint, then ask for two sequence versions — a sprint focused on momentum and high-impact actions, and a deep dive that builds full understanding with space for application.
A strong transition validates what was just learned, creates a bridge to the next topic, and previews the payoff. AI can write these 30-second bridges for any pair of topics in seconds.
Map your students' stuck point and what confidence looks like for them, then ask AI to design a sequence that starts with quick wins and ends with a proof moment — the thing they were afraid to do at the start.
Describe your promised outcome and current course length to Claude and it will assess whether the scope matches the promise — flagging where you're under-delivering or over-engineering.
Ask AI to test each lesson for one clear outcome and standalone applicability. If a lesson fails both tests, AI can recommend whether to split it or merge it with an adjacent one.
AI can help you design a course with a stable core that works self-paced and a live layer you add for cohort runs — so you build once and deliver in two formats without rebuilding everything.
A well-scaffolded live session moves from activation to instruction to application to consolidation. AI can fill in the specifics for each stage in minutes, turning 90-minute prep into a 10-minute conversation.
Describe your student experience range to Claude and ask it to design a sequence with a foundational floor for beginners and optional depth for advanced students — so no one gets left behind or bored.