How 5 LLMs Built 9 Free Courses in One Afternoon: Multi-LLM Orchestration for Education

Last week, I published 9 free educational courses with 91 modules and approximately 19 hours of hands-on content. The total cost in AI APIs was $10. The Problem There is no free, integrated, Portuguese-language material that takes someone from absolute zero to mastering AI tools like Claude Code, MCP, and GEO (Generative Engine Optimization). Existing tutorials are fragmented, mostly in English, and lack practical context. The Architecture: Multi-LLM Orchestration I built a Python orchestrator that coordinates 5 language models working in parallel: Claude Opus (Anthropic) — task decomposition, architecture, and code generation GPT-4o (OpenAI) — long-form writing and copywriting Gemini 2.5 Flash (Google) — fast analysis and classification Perplexity Sonar — live research with source citations Llama 3.3 70B (Groq) — ultra-fast summarization The pipeline operates in sequential waves: research, analysis, parallel writing, classification, architecture, code generation, and review. Each LLM