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.

1. Prompt Engineering + Context Engineering 2. Recursive research using multiple models 3. Learning what each model is good at (the benchmarks don't tell the full story)

In the spirit of building in public, I'd like to share a little bit about the tools that I have been using to build DeFi U, and which honestly could be used to build just about anything you can think of. I'll take a screenshot of Cursor and feed it to Claude then highlight how I use these tools together. That is a good starting point. I used Grok 4 Heavy to analyze the screenshot and generate this overview of my AI assisted workflow, then I fed that overview to Claude 4 Sonnet to improve the formatting of the content so that us humans can more easily read through it. Markdown format is kinda straining for the eye. DeFi University Course Development Workspace 🏗️ Workspace Layout Overview 📁 Project Sidebar (Left Panel) The left sidebar displays the hierarchical folder structure of the DeFi University Skool Course project: Course Modules: • Module-0-Getting-DeFi-Ready • Module-1 through Module-7-Sustainable-DeFi-Mastery Supporting Directories: • plans/ - Project planning documents • scripts/ - Automation scripts • templates/ - Content templates Key Files: • CLAUDE.md - AI integration documentation • generate_content_driven_module_0.py - Python content generators This systematic organization enables efficient navigation and AI-assisted content generation for each module. 📑 Editor Tabs (Top of Main Area) Multiple active tabs facilitate seamless content switching: Currently Active: • lesson.md - Located in Module-2-DeFi-Fundamentals > 2.1-Core-DeFi-Concepts Background Tabs: • DeFi University Skool Course - Project overview • Additional lesson files This setup allows rapid switching between editing lesson content and project management, with Claude integration assisting in markdown content generation and refinement. ✏️ Main Editor Content (Central Pane) The central editor displays the active lesson content: Current File: lesson.md Section: # 2.1 Core DeFi Concepts Simplified Available Panels: