Agentic Presenter Notes for Course Builders
Your go-to space for actionable insights on scenes, narration, and human approval before publish.
Building for an AI Teacher is different from writing a slide deck. The Agentic Presenter delivers approved course content live in the Learning Room, handles interruptions, and keeps every answer grounded in what you approved. That only works when scenes, narration, and review gates are deliberate.
These notes collect practical patterns course builders use when shaping lessons for Aivah LMS. The aim is clear structure, natural delivery, and a publish path that never skips human approval.
Design scenes the AI Teacher can hold
A scene is a bounded unit of instruction: one objective, supporting media, and narration that the Agentic Presenter can deliver without losing the thread. Keep each scene focused enough that a learner interruption still maps back to the same curriculum block.
Name scenes by outcome, not by slide number. When the AI Teacher resumes after a question, grounded answers stay aligned because the scene boundary and approved content are explicit. Avoid packing multiple unrelated concepts into one scene; split them so pacing and recovery stay clean.
Write narration for live delivery
Narration in Aivah is spoken in the Learning Room, not skimmed as body copy. Short sentences, concrete verbs, and one idea per beat help the AI Teacher sound steady when learners jump in mid-lesson.
Script transitions between scenes so the presenter can bridge without inventing material. Call out terms you want defined on first use. Leave room for the agent to acknowledge a question, answer from approved content, and return to the narration path without sounding scripted or brittle.
Human approval before publish
Nothing goes live until a human reviews the full lesson path: scenes, narration, and the knowledge the AI Teacher may use for grounded answers. Treat approval as a curriculum gate, not a formality. Check that interruptions cannot pull the presenter outside what you signed off on.
When you revise a scene after feedback, re-approve the affected path. Version clarity matters: learners and the Agentic Presenter should always run on content you have explicitly cleared, so live sessions stay faithful to the course you intended.
“Publish only what you would stand behind in a live Learning Room.”
Keep lessons grounded under interruption
The value of an AI Teacher is continuity: teach, pause for a question, answer from approved material, continue. Course builders support that by attaching source bounds to each scene and by avoiding open-ended prompts that invite speculation.
Test the lesson as a learner would. Ask off-angle questions at scene boundaries and confirm the presenter stays inside curriculum. If an answer feels thin, strengthen the approved content rather than widening the model’s freedom. Grounded answers are a design result, not a switch you flip at the end.