Once the upload finishes, we'll give it this prompt: "Extract the main insights, key data, and statistics and organize them into five sections: core themes, milestones, data and trends, ethics, and future directions." Okay, so you can see Notebook LM has scanned the entire textbook and pulled out the key insights from over 500 pages, grouping everything into clear sections.
You can see it captured not just the theory, but real data and trends from AI transparency and explainable systems to human-AI collaboration, usability frameworks, and future research directions.
Next, we'll head over to Gemini. This is where we turn all those insights into a clear, professional infographic. We'll paste everything we got from Notebook LM straight into Gemini. Then click on tools and make sure you turn on canvas mode. Then we'll add this prompt: "Create a clean, professional infographic using a light, modern color palette, soft blues and grays with five clearly divided visual sections, icons, charts, and balanced spacing."
And here's the final result from Gemini. It's clean, well-structured, and looks like a professional executive summary. The infographic automatically organizes the textbook insights into clear sections, starting with core strategic drivers, then moving into evidence-based performance metrics, and finishing with augmentation and interface design.
Each section blends text and visuals, short data highlights, simple charts, and key statistics like workload reduction and accuracy rates, making the information instantly readable, and it turns hundreds of pages of dense material into an infographic that's concise, elegant, and ready to present.
Okay, for our second use case, we're going to build a complete research presentation using both Notebook LM and Gemini. So, first we'll head over to Notebook LM, create a new notebook, and then click discover sources and type "latest thinking on the future of artificial general intelligence, including research papers and expert opinions."
Notebook LM will instantly search and compile credible materials, academic articles, reports, and even video transcripts from leading researchers and organizations. Once we've reviewed the list, we'll select the most relevant sources and add them to a new notebook. This gives us a complete knowledge base.
Now that we've gathered all our sources, we'll ask Notebook LM to turn them into a clear presentation outline. Here's the prompt we'll use: "Based on all sources in this notebook, create a 10-slide outline titled 'the latest thinking on the future of artificial general intelligence.' Each slide should include a title, two or three key points, and short source notes for credibility."
Notebook LM instantly structures the content. It maps out the main ideas from AGI definitions and technical frontiers to ethical concerns, governance frameworks, and emerging global viewpoints.
Once we have this outline ready, we'll take it over to Gemini. Paste in the outline and use this prompt: "Turn this into a 10-slide presentation. Add short slide headlines, smooth transitions, and suggest relevant visuals like timelines, charts, and key quotes." And again, we need to make sure we switch on canvas mode.
Okay, so now let's look at the output. We've got a professional, well-structured presentation that looks clean, modern, and data-driven. Gemini has transformed the outline into a complete deck, clear sections, balanced visuals, and concise text that flows naturally from one idea to the next.
It captures the key insights, integrates real statistics, and presents everything in a polished presentation-ready format. Overall, it's exactly what you'd expect from combining Notebook LM's structured research with Gemini's visual design—credible, cohesive, and ready to share.
Okay, for our next use case, we're going to map out the most in-demand AI skills of 2025 as an interactive constellation map. We'll start in Notebook LM and select discover sources. Then type "latest job market and labor trend reports on AI skills 2025 site:LinkedIn or WEF or Coursera or OECD." Notebook LM gathers verified data from credible labor reports and skill indexes.
Next, we'll use the mind map feature to visualize the results. Once it's generated, we'll open it up and explore each cluster, expanding the branches to see how skills connect across roles and sectors. When the map looks complete, we'll download it as an image.
Then we'll go to Gemini, upload the mind map, and use this prompt: "Create a constellation map titled 'the most in-demand AI skills of 2025.' Show six main clusters. Color code each and add hover text for every skill."
Gemini instantly transforms it into a clean, interactive visual. Each cluster is clearly defined in various colors. Hovering over any node brings up concise details. For example, ethics expands to show its purpose and even lists example roles like AI ethicist. It's smooth, balanced, and well-spaced, giving you a professional, explorable view of how AI skills connect across domains and industries.
Okay, for this use case, we're going to see how small businesses can use Notebook LM and Gemini to build a live AI strategy board—a decision-ready dashboard powered by verified insights. We'll start inside Notebook LM and select discover sources. Then type "current trends in AI adoption by small businesses 2024 to 2025."
Notebook LM gathers credible reports from sources like McKinsey, Deloitte, OECD, and WEF, covering how AI is being used across marketing, HR, and automation. Next, we'll ask: "Summarize the key AI tools small businesses are adopting. Include tool type, maturity level, cost-value ratio, barriers to adoption, and whether to adopt, monitor, or avoid."
Notebook LM builds a structured table showing high ROI tools like generative AI, areas to monitor like HR automation, and emerging tools to watch closely.
Now, we'll move to Gemini. Paste the table and activate canvas and use this prompt: "Create an interactive strategy board for AI tools used by small businesses. Include filters for maturity, cost, value, and strategic action."
Gemini instantly turns it into a clean, dynamic dashboard. You can filter trends and explore tools across categories—from generative AI for content and customer service chatbots to operational automation and marketing analytics. Each card shows the use case, barriers, and an action label: adopt, monitor, or avoid, all color-coded for clarity.
Below that, the strategic insights panel highlights the essentials: quick wins in productivity and customer service, key adoption barriers like skills gaps and ethics, and a clear road map. Short-term: adopt low-cost, high ROI tools. Medium-term: scale chatbots and marketing AI. Long-term: expand automation carefully.
The strategic decision section visualizes what to adopt, monitor, or avoid—giving leaders a quick, actionable snapshot of their AI priorities. It's a complete data-driven strategy board built entirely from verified research. Notebook ensures the information is credible and Gemini turns it into a live, interactive dashboard ready for decision-making.
So in this video we've seen the powerful workflow that combines Notebook LM and Gemini—turning research into visuals, presentations, maps, and strategy dashboards all in one process. Don't forget to subscribe and I'll see you in the next.
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Conversation with Gemini
Core Themes
The foundational subject of the document is a general geologic and economic report focused on Greenbrier County, West Virginia. A core insight is that Greenbrier County is characterized by a diversified mix of natural products, notably coal mining, lumbering, agriculture, and resorts utilizing mineral springs. Geologically, the area is interesting because it encompasses both the plateau and folded Appalachian regions, with exposed rock strata totaling about 14,385 feet, ranging from the lower Silurian to the Kanawha Group of the Pennsylvanian. The natural forest cover of the county, predominantly hardwoods, is environmentally divided into three districts, reflecting the underlying geology.
Milestones
The Detailed Geologic Report covering Greenbrier County, prepared by Paul H. Price and E. T. Heck, was transmitted for publication on June 30, 1939. The county's history of commercial coal mining began with the first recorded production in 1907. Cumulative coal mining history shows that 22,382,111 short tons of Sewell Coal had been mined from operations in Greenbrier County up to the end of the 1936 calendar year. A notable internal milestone was the passing of Paleontologist John L. Tilton on November 17, 1930.
Data and Trends
The total area of Greenbrier County is 1022.80 square miles. The average annual temperature at Lewisburg (El., 2250') from 1900 to 1936 was 51.7 degrees Fahrenheit, and the average annual precipitation for the same period was 40.06 inches. In mineral resource projections, the Fire Creek Coal holds the highest estimated available tonnage at 443,266,560 tons, while the important Sewell Coal has an estimated available tonnage of 215,778,813 tons. The total estimated available coal reserve (in tons of 2,000 pounds) across all minable seams for the county is 1,220,503,321 tons. Chemically, the Sewell Coal is characterized by low volatile matter (23 to 28 per cent.) and high B. T. U. (frequently above 14,500 and sometimes exceeding 15,000). The maximum development indicated horse-power for the Greenbrier River is 19,200.
Ethics
The report addresses caution regarding the search for commercial oil deposits by linking prospects to the degree of rock metamorphism, specifically mentioning the fixed carbon ratio in coal: the extinction zone for commercial oil deposits is typically between 62 and 65 per cent. fixed carbon ratio. Greenbrier County coals exceed this threshold, all showing more than 70 per cent. fixed carbon (moisture and ash free basis). The authors aimed to maintain integrity in nomenclature by recognizing and following the earliest published and authentic titles for geological classifications. The report also humorously acknowledged the potential unpopularity of adverse findings, stating that an investigator making an adverse report on precious metals should be prepared to be disliked.
Future Directions
The estimation of available coal resources is explicitly noted as conservative. The future development of mineral resources depends heavily on additional exploration; for instance, determining the extent of manganese deposits requires extensive prospecting, with the price of manganese acting as the controlling factor in development. The presence of low ash, high B. T. U. coals in the county suggests a large potential market for use in automatic stokers. Prospecting for oil or gas is discouraged east of the Greenbrier River, while the western part remains questionable, dependent on metamorphism levels and source beds. Further detailed work is necessary for adequate correlation of individual members within the Mauch Chunk Series.
This 1939 geologic and economic report details Greenbrier County, West Virginia, as an area with a diverse economy based on coal, lumber, agriculture, and mineral spring resorts. It provides extensive data on the county's geology, climate, and significant coal reserves (estimated at 1.22 billion tons), while also offering ethical cautions against prospecting for oil due to high rock metamorphism.
Here is a breakdown of the key information from the report.
Core Themes
The report identifies Greenbrier County as having a diversified economy driven by coal mining, lumbering, agriculture, and resorts built around mineral springs. Its geology is notable for spanning both the plateau and folded Appalachian regions, exposing approximately 14,385 feet of rock strata from the lower Silurian to the Pennsylvanian periods.
Milestones
Report Publication: The report, by Paul H. Price and E. T. Heck, was transmitted on June 30, 1939.
First Commercial Coal: The county's first recorded coal production was in 1907.
Sewell Coal Production: By the end of 1936, cumulative mining of Sewell Coal reached 22,382,111 short tons.
Personnel: Paleontologist John L. Tilton passed away on November 17, 1930.
📊 Data and Trends
Area: The county's total area is 1022.80 square miles.
Climate (1900-1936): At Lewisburg, the average annual temperature was 51.7°F, and average annual precipitation was 40.06 inches.
Total Coal Reserves: The total estimated available coal is 1,220,503,321 tons.
Specific Coal Reserves:
Fire Creek Coal: Highest estimate at 443,266,560 tons.
Sewell Coal: Estimated at 215,778,813 tons.
Sewell Coal Quality: Characterized as low volatile (23-28%) and high B.T.U. (often above 14,500).
Hydropower: The Greenbrier River has a maximum indicated horse-power of 19,200.
Ethics and Methodology
The report emphasizes scientific integrity by:
Managing Expectations: It cautions that an investigator delivering adverse reports (e.g., on precious metals) should expect to be disliked.
Following Nomenclature: The authors adhered to the earliest authentic, published titles for geological classifications.
Oil Prospecting Warning: The report advises against searching for commercial oil. It notes the "extinction zone" for oil is between 62-65% fixed carbon ratio. Greenbrier County coals all exceed 70%, indicating metamorphism too high to support oil deposits.
🔮 Future Directions
Conservative Estimates: The report states its coal resource estimations are conservative.
Exploration Needed: Future development of minerals like manganese depends on extensive prospecting and is controlled by market price.
Market Potential: The county's low-ash, high-B.T.U. coal is noted as having a large potential market for use in automatic stokers.
Prospecting Advice: Oil or gas prospecting is discouraged east of the Greenbrier River and remains questionable in the west.
Further Study: More detailed work is required to correlate members of the Mauch Chunk Series.
Would you like me to find more recent geological or economic data for Greenbrier County, West Virginia, to see how these 1939 projections compare to today?
"Create a clean, professional infographic using a light, modern color palette, soft blues
and grays with five clearly divided visual sections, icons, charts, and balanced spacing."
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create a presentation
Generating slides ...
Here
is your slide deck on the 1939 Greenbrier County report! I've used the
light, modern color palette with soft blues and grays that you
requested. Let me know if you'd like any adjustments.
https://gemini.google.com/share/25c3e9918c50
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