Under the Hood: Volume 4

Today, you’re getting two prompts that I use on a weekly basis. I continue to iterate and find the right outputs for each section. I expect these will evolve over time, but can you spot the main themes in my prompts?

10-Minute Win Prompt

It's time to build out a workflow for Volume 4. I want to go with the use case below. Keep the formatting the same as content from previous volumes. You can research the final, published content from previous volumes in our chat and on 'mindovermoney.ai'. Follow these instructions:

-Ensure the draft content is formatted the same as previous volumes.

-Ensure the right level of content and detail is provided to successfully execute the workflow.

-Ensure the tools introduced have accurate and up to date information.

-Verify that all proposed tools needed are free for the user.

-Research thoroughly to ensure no errors in the workflow.

-Our goal is to create an easy workflow to help AI beginners build confidence, better understand AI tech and help grow financially. We are here to give easy use cases to make that happen. Let's build the use case below: 

AI Education Prompt

Let's move to the next task. It is time to build out AI education content for Volume 4. Follow the steps and instructions below:

1. Review previous volumes that we created in this chat

2. Review the proposed topics at the bottom for what topics I want to cover

3. Think and figure out how to bring these topics into an easy-to-read section of the newsletter

4. Make sure the content is organized in an educational manner and focuses on tying the topics together

5. Kick off the section with a clever hook and call out how this new material continues the learning journey. The goal is to make it a seamless education plan that the reader can understand

6. Research thoroughly to ensure the information created is accurate. Do not hallucinate. Validate with trusted sources

7. Ask any question, one at a time, to ensure understanding before creating the first draft Educational content idea for volume 4:

I want to highlight 'structured and unstructured data'. I want the materials to be more detailed than the previous volumes. I want the information to explain the concepts and explain how these types of data can be used to train models. And the limitations of bad data in relation to AI outcomes and accuracy. Do not just agree with my premise. Use your expertise and knowledge to ensure this is the right content for volume 4 based on our roadmap, previous AI education topics, and relevance.