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.
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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.
To create detailed context files about your business or personal preferences, instruct your AI to act as an interviewer. By answering its questions, you provide the raw material for the AI to then synthesize and structure into a permanent, reusable context file without writing it yourself.
The most effective use of AI in content is not generating generic articles. Instead, feed it unique primary sources like expert interview transcripts or customer call recordings. Ask it to extract key highlights and structure a detailed outline, pairing human insight with AI's summarization power.
To simulate interview coaching, feed your written answers to case study questions into an LLM. Prompt it to score you on a specific rubric (structured thinking, user focus, etc.), identify exact weak phrases, explain why, and suggest a better approach for structured, actionable feedback.
Individual sellers can use free tools like Google's NotebookLM to build their own specialized AI agents now. By uploading books, articles, and podcasts on topics like prospecting or upselling, they create a personal knowledge base to get instant, tailored answers and stay ahead of the curve.
To create a reliable AI persona, use a two-step process. First, use a constrained tool like Google's NotebookLM, which only uses provided source documents, to distill research into a core prompt. Then, use that fact-based prompt in a general-purpose LLM like ChatGPT to build the final interactive persona.
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.
A novel use for Google's NotebookLM is to act as an impartial judge. By uploading audio recordings of multiple pitches and providing specific judging criteria (e.g., innovation, impact, storytelling), the AI can analyze the content and announce the winners, adding a unique and data-driven element to events.
Unlike general-purpose LLMs, Google's NotebookLM exclusively uses your uploaded source materials (docs, transcripts, videos) to answer queries. This prevents hallucinations and allows marketing teams to create a reliable, searchable knowledge base for onboarding, product launches, and content strategy.
