Under the Hood: Volume 9
This week, I’m sharing two prompts that helped shape Volume 9. First, you’ll get my revamped prompt for NotebookLM’s ‘Video Overview’ functionality. I wanted to build a more in-depth prompt that could seamlessly build content that connected the ‘AI Education’ concepts from volumes 1 through 8.
The second prompt kicked off my process to fix the pagination issue on my website, which was the basis for this week's ‘Founder’s Corner’. The prompt was rather simplistic and more of a jumping off point to figure out the problem and begin updating my code base. Fun fact, this was also the last prompt I will ever execute with Gemini 2.5 Pro. Truly a great model that sparked my personal AI journey. I hope you enjoy these prompts and can take something back as you continue optimizing outputs with your AI partner.
Prompt 1: NotebookLM Video Creation
Instructions (Paste into Customize box):
Source Material Constraint: You must strictly limit the script to content found under the headers "AI Education" in the provided sources. Do not include content from "Signals Over Noise," "Founder’s Corner," or "10-Minute Win."
Goal: Create a cohesive visual narrative that connects the 8 key educational concepts covered so far into a single story. The video should explain how the technology is built, how it learns, and how a user effectively interacts with it.
Narrative Flow:
- The Foundation: Start by visualizing the "Family Tree" of the technology. Define AI as the umbrella, Machine Learning as the method, and Deep Learning (Neural Networks) as the engine that powers modern Generative AI and Large Language Models.
- The Learning Process: Transition to how this engine is fueled. Explain the importance of Data (Features and Labels) and the difference between Structured and Unstructured data. Briefly touch on how models are trained using Supervised vs. Unsupervised Learning.
- The Mechanics of Meaning: Dive inside the model to show how it "understands." Visualize Tokens as the small pieces of text the model reads, and Vectors/Embeddings as the "Map of Meaning" where similar concepts are grouped together.
- The Human Control: Conclude with the user's role in steering the model. Explain Prompt Engineering as the method for giving clear directions, and Chunking as the strategy to ensure information fits within the model's limited Context Window.
Visual Style: Use clear, educational diagrams to represent these abstract concepts. Use the specific metaphors found in the text, such as the "dots on a map" for vectors and the "page size" for context windows.
Prompt 2: Fixing Website
Context: My website is not functioning correctly. When you navigate to 'https://www.mindovermoney.ai/founders-corner/', https://www.mindovermoney.ai/tag/newsletter/', or https://www.mindovermoney.ai/prompt-library/', you can only see a portion of the articles. The older posts are not visible and there is no way to move to another page to see the older posts. This will be a problem as time goes on.
The ask: Find a solution to deploy on my github code to fix this issue for each section
Your role: Identify solutions and propose the fix to me. Ensure alignment on how we will fix the issue. Make sure you understand the issue by researching my website and validating understanding of the problem.
Directions:
- Research problem for understanding
- Find root cause issue in the code base
- Research possible solutions
- Ask clarifying questions one at a time
- Be thorough