Current Project: Reading books about entrepreneurs and sharing what I learned from them
Mission: Create a library of wisdom from notable entrepreneurs that current entrepreneurs can leverage to increase their chances of success
What I struggled with:
- I struggle to keep up with everything I’m learning about databases and AI. I’ll keep asking questions and researching to enhance my conceptual understanding. The joys of being a nontechnical founder! :)
What I learned:
- Using one AI model for the “book library” MVP likely won’t work. We’ll need to pick the best model for each specific task and devise a process to chain the tasks together to get the desired result.
- If the context is too large (i.e., I feed AI too much data), the quality of the results plummets. We’ve broken information down into smaller chunks that still turned out to be too large. We had to break the information down into even smaller chunks, which drastically improved AI’s output quality.
- When running an iterative addition loop with AI, we must store the results (i.e., keep snapshots along the way) to avoid results from a bad loop wiping out all the data from previous loops.
- I can improve my AI response by asking AI to write prompts. More here.
- Launching with decent data is more important than launching when the data is perfect. More here.
- My blog posts have a much wider reach than I realized. When my blog posts are valuable, readers share them readily. I need to get this MVP launched so I can begin writing detailed posts and creating podcast episodes about what I’m learning from books.
- The vision for this project is starting to become clear: Create a world where more people can readily access and apply entrepreneurial wisdom to achieve economic mobility. See more here.
- I get excited sometimes and start thinking about cool features and the potential of this project. But creating this MVP isn’t easy. I must stay focused and get the minimum required features built and working first.
Those are my struggles and learnings from the week!
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