Settings and methodology for experienced users of Notebook LM
Examples provided are mainly for researchers and educators
Examples provided are mainly for researchers and educators
Customisation of this notebook
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You can now configure how this Notebook will respond. Customisation in this setting could result in an output better reflecting your needs. (see the image)
1. Adjust your notebook settings 2. Customise how you wish to use this notebook 3. Choose long (for research) or short. |
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Step by step process
Introduction
Notebook LM works best with verified sources. It functions best when sources are specifically focused on a single, specific topic. Be specific with your research or educational need.
PHASE 1: Deep Research and Source Validation
Use deep search to cover comparative angles with detailed prompt instructions
Notebook LM works best with verified sources. It functions best when sources are specifically focused on a single, specific topic. Be specific with your research or educational need.
PHASE 1: Deep Research and Source Validation
Use deep search to cover comparative angles with detailed prompt instructions
Step 1
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Case study A: Hard science
Context: Energy consumption analysis. Prompt: Deep research on the energy consumption of Al training and inference compared to high-definition video streaming services like Netflix and HBO, including data center impact. All the research must be after 2020 |
Case study B: Humanities
Context: Sociolinguistic trends. Prompt: Conduct a deep analysis of thedebate around multiethnolects in Northern European cities... focus on studies published after 2020 regarding identity construction and language policy. |
Step 2
Transform your URLs, PDFs, mp3 audio files, Youtube, etc into structured datasets. Using the Data table feature (in Studio panel)
Transform your URLs, PDFs, mp3 audio files, Youtube, etc into structured datasets. Using the Data table feature (in Studio panel)
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Prompt:
I need columns for: investigated sociolinguistic variable, sample size, informant demographics, geographic area, and methodology. Include the source name and key findings regarding linguistic variation. |
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Step 3 The 3-Step Source Validation Framework to ensure reliability in rapidly changing fields (e.g., Al energy metrics). 1. Overview Create a table showing each source with its publication date, author credentials, and whether it's a primary source, secondary analysis, or opinion piece. 2. Citation check Which of these sources are most frequently cited regarding the energy metrics of Al and streaming? 3. Bias analysis Summarize the primary perspective or bias of the top five most substantial sources regarding the environmental impact of digital technologies. |
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PHASE 2
a) Configuring the expert persona
Move beyond generic responses by defining Custom conversational goals with Longer response length.
a) Configuring the expert persona
Move beyond generic responses by defining Custom conversational goals with Longer response length.
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Persona A: The specialist
Environmental data analyst specialising in digital carbon footprints and data center efficiency. Goal: Technical precision for energy trade-off analysis. |
Persona B: The peer reviewer
Senior Professor in sociolinguistics with 20 years of quantitative experience. Prompt: Act as a 'peer reviewer.' Assess theoretical accuracy (adherece), methodological validity, and statistical significance... Flag methodological weaknesses. |
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b) Theoretical Synthesis & Mind Mapping
Visualising the interplay between researchers and theoretical frameworks using the Mind Map feature. Prompt: Visualise connections between concepts... and how they are supported by specific data. |
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PHASE 3
Directed Audio Synthesis Do not simply click generate. Direct the conversation to expose trade-offs. Prompt: Focus exclusively on the main disagreements between researchers regarding how to measure Al energy use versus streaming data transfer. Explain each perspective clearly and keep the discussion under 15 minutes. |
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Drafting a report
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The Literature Review (Sociolinguistics)
Prompt text: Write a literature review draft... focus on power relations and linguistic capital. Integrate terms like 'indexicality' and 'prestige' correctly for an expert audience. |
The Technical White Paper (Energy)
Prompt text: Create a technical white paper analysing energy consumption of LLMs vs global streaming traffic. Include methodology comparison, specific data points for kWh per GB, and future sustainability sustainability directions. |
Infographics and presentations
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Prompt A:
Create a professional infographic comparing the kWh per hour of generative Al usage versus one hour of 4K streaming... clean design. Blue pastel colours. Spacious design |
Prompt B:
Create a 12-slide deck for an international conference... focus on the correlation between social class and dialectal variation. |
Flashcards
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Prompt:
Create scenario-based flashcards for field methodology students. Present real dilemmas (e.g., the "Observer's Paradox" or recording ethics). Test the student's ability to choose the right methodological action. |
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Compare your sources with each other
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Source comparison prompt: Compare the technical energy metrics discussed in the research papers with the practical sustainability claims made in the Netflix/HBO engineering blog posts. |
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