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Mary Green (Owner CMAweekly) January 19, 2026 at 08:38 PM

Last week (Tuesday) we had our 2nd AI Study Group and <@U09AD7UAFJ8> shared her adventures in pulling in content to Notebook LM to make a customer library of content.
She also shared two profiles on LinkedIn she likes to follow for AI: [04:30](https://www.linkedin.com/in/profileofdanwilson/> (for seniors) and https://www.linkedin.com/in/lizaadams/.

Next week (we meet every two weeks), I'll share what I'm doing in AI.

Finally, here's a video on AI I watched this past week, https://www.youtube.com/watch?v=dJN4nQ5Verw

I liked this part: [<https://www.youtube.com/watch?v=dJN4nQ5Verw&t=270s)] Technique #2: Impress Your Boss with AI Reports Learn to turn complex data (like SEC filings) into stunning, professional reports, interactive websites, and infographics in minutes using Perplexity and Google Gemini's Canvas feature. No design or coding skills needed.

Next meeting invite coming soon.

Sandra Grauschopf January 20, 2026 at 10:47 AM

I started using NotebookLM for a library of customer content, and it works sooooo well! I thought I wouldn't even be able to tackle the customer content library until next quarter, and now it's all but done. Amazing!

Mary Green (Owner CMAweekly) January 20, 2026 at 04:24 PM

Awesome!

Mary Green (Owner CMAweekly) January 20, 2026 at 04:24 PM

If you have any other AI tips you are welcome to come to a future Study Group, or just join to learn from others.

Erin Pemberton January 20, 2026 at 08:28 PM

Would love to learn more!

Ann Davis January 20, 2026 at 10:41 PM

@Mary Green (Owner CMAweekly) I am interested in the study group. Can you share more info? I work for an AI company and have a mandate from my CMO to take human powered work and use agentic AI to do it – AI tools like Gemini and NotebookLM are not enough – but the more I can learn the better!

Ann Davis January 20, 2026 at 10:42 PM

<@U0A7VUFB3DX> would be interesting in hearing more about how you did this!

Sandra Grauschopf January 21, 2026 at 07:05 AM

@Ann Davis It was crazy easy:
1. Create new notebook in NotebookLM
2. Ask Gemini for a list of the URLs for all case studies on the Loxo website.
3. Ask Gemini to create a spreadsheet with some important information for each study: Name of the company, name of the interviewee, location of the company, main benefits mentioned. Filled in anything that wasn't explicitly mentioned in the story (such as the company size and location).
4. Put the list of links and the spreadsheet as a source in NotebookLM
Now I can ask natural language questions to find which existing case studies match my use case. Like, "Show me all case studies from companies in Australia."