notebooklm-learner-pack

To generate a NotebookLM prompt pack, provide your topic, brand, and optional source materials to produce a self-contained HTML file with 29 grounded prompts across 5 asset types and 6 audience lenses. The output is ready to paste directly into NotebookLM.

A dual-filter rendering UI is a single HTML interface that features live audience-lens toggling and asset-type filtering. It allows users to interactively narrow down the 29 generated prompts to find targeted assets for specific audiences.

Yes, you can customize the brand voice for NotebookLM explainer assets. The generator supports Techy Surgeon, Duke Health, RevelAi Modern Enterprise, and custom brands to ensure prompt outputs match your specific audience.

You can create five types of explainer assets with grounded NotebookLM prompts: infographics, slide decks, audio, video storyboards, and knowledge tests. All 29 prompts reference actual constructs and metrics from your provided corpus.

No, external source documents are optional. You can build a topic-grounded prompt library by providing just the topic and brand, though adding source materials ensures the generated prompts reference actual constructs, actors, and metrics.

A NotebookLM Learner Pack includes 6 audience lenses. These lenses work alongside the 29 prompts and 5 asset types, allowing you to filter the generated HTML output for highly targeted explainer assets and knowledge checks.