Plan a Lesson
Describe a class and topic and the toolkit maps a beginning → during → end lesson arc — each phase a real tool with prefilled inputs you generate in one click and add to a course.
What this screen does
Plan a Lesson turns a one-line brief into a whole lesson. Fill the brief — Board, Class, Subject, Chapter and a free-text topic / learning objective — and the toolkit suggests a beginning → during → end arc. Each phase holds one or more cards, and every card is a real toolkit tool with its inputs already filled from your brief, plus a short line of reasoning for why it fits that moment of the lesson. You generate each card in place and send the result onward — no re-typing.
The brief
Board · Class · Subject · Chapter
Board-first taxonomy pickers, chained canonically. Class and Subject are required; Board and Chapter sharpen the suggestions.
Topic / learning objective
A free-text description of the lesson (required). The more specific, the sharper the arc. The ✨ Prompt assistant is available here to polish a rough note.
The provider+model chip — choose which AI plans the lesson (remembered per surface). See the All Tools reference for details.
Generates the arc. Re-run any time with “Suggest again” after tweaking the brief.
The lesson arc
The arc is grouped into three phases — Beginning (hook the class & activate prior knowledge), During (teach, model and practise) and End (consolidate & check for understanding). Each card names the tool it maps to and carries its own generate state.
Read the card — the tool it uses, what it will produce and the reasoning for this phase.
Click Generate — it runs that tool with the prefilled inputs and renders the result inline (Regenerate to try again).
For a text result, use Copy, Save to My Resources or Add to Course; for a questions result, use the Send to… router (Question Bank / Paper Canva / Online Exam / Live Quiz / OMR / Offline / Add to Course).
Repeat down the arc — each card generates independently, so you assemble the whole lesson piece by piece.
Each generate spends AI credits and shows its AU cost (and a “served from cache” badge when a recent identical run is reused). The routing, export and save actions are exactly the shared-runner ones documented in All Tools.