Refining The Initial DeFi Course Lessons
Now that I have built a solid starting point for the DeFi Course programmatically using Claude Code, I need to refine the content with another model or two in order to make it truly valuable. The way in which this is done has a huge impact on the end result. I use my knowledge and expertise in finance/defi to go through each lesson line by line and then specifically direct a good research model like Gemini Deep research, or maybe a faster model like Grok 4, or I could use Claude 4 Sonnet or Opus (if you like spending tokens) to generate some enhanced content using real research. I go line by line and lesson by lesson to refine each module until the written text is complete. Then I have to move on to the visuals and video instructional content. We can use AI models to give us a great starting point for that content also. I have attached a screenshot of Claude project showing the first iteration of refining lesson 1 from Module 0. I used Opus 4 to generate that result, now I'm going to test Grok 4 Heavy and see which output is best then I will run through every lesson and refine them.