Instead of manually taking notes during research, use an LLM with a large context window (like Gemini) to process long video transcripts. This creates a searchable, summarized chat from hours of content, allowing you to quickly pull key points and unique perspectives for your own writing.

Tools like Notebook LM don't just create visuals from a prompt. They analyze a provided corpus of content (videos, text) and synthesize that specific information into custom infographics or slide decks, ensuring deep contextual relevance to your source material.

Marketers can use Gamma.app to instantly transform disparate documents and notes into professional presentations. By uploading information and providing simple prompts about tone and style, the AI generates a complete slide deck, saving hours of manual design work for client pitches or talks.

The old method involved asking an LLM for a slide outline, then feeding that into a design tool. The modern workflow is more powerful: provide the presentation AI with a raw data source (e.g., a call transcript, Slack channel) and instructions, letting it perform the analysis, outlining, and visualization in a single step.

While many use Google's NotebookLM for summarizing sources, its ability to generate visually appealing and well-structured slide decks is a powerful, overlooked feature. By inputting a source like a transcript or blog post, users can create high-quality presentations, making it a valuable AI slide designer beyond just research.

Notebook LM is a powerful tool for interview preparation. A Google AI PM uploaded a four-hour investor video and the target job description, then asked the AI what she needed to know. It distilled the content into 15 key points, enabling her to master the material and excel in the interview the next day.

To make company strategy more accessible, Zapier used Google's NotebookLM to create a central AI 'companion.' It ingests all strategy docs, meeting transcripts, and plans, allowing any employee to ask questions and understand how their work connects to the bigger picture.

A powerful learning hack: 1) Ask an LLM (like Gemini) for a deep research guide on a topic. 2) Paste the text into Google's NotebookLM. 3) Prompt NotebookLM to "create a five-minute podcast" summarizing the material. This transforms dense information into a quick, digestible audio primer for learning on the go.

Instead of being a standalone feature, LLMs provide the most value when subtly integrated into existing workflows. YouTube's AI summaries or its ability to extract a parts list from a DIY video are examples of enhancing the user experience without being disruptive.