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

#ai #education #llm #webdev

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 has an adaptive score based on success rate (weight 0.6), cost (0.2), and latency (0.2). The system learns which model performs best for each task type.

The Real Numbers

6 courses created simultaneously by 6 parallel Claude Code CLI agents
6,439 lines of code in approximately 15 minutes
Build verified automatically before each deploy
Automatic deployment via Vercel in under 90 seconds

The 9 courses cover: VS Code, GitHub, Python, Node.js, Claude Code CLI, MCP with Chrome, Complete Setup, From SEO to GEO (with real data: 58.5% of searches are zero-click in 2025), and Technical Behind-the-Scenes.

Tech Stack

Frontend: Next.js 16 + React 19 + Tailwind CSS 4
Deploy: Vercel (auto on push to master)
Progress tracking: localStorage (no database needed)
Certificates: Resend API for email delivery
Design system: Salesforce-inspired (accent #0176d3, radius 8px)

FinOps and Cost Control

The orchestrator includes built-in financial governance:

Budget guards: $5 per execution limit
Rate limiting per provider (token bucket algorithm)
Circuit breakers for provider resilience
Daily limits per provider
Total cost for all content: approximately $10

Gamification

Each course features:

Collectible badges (unique per course)
Email-delivered certificates via Resend API
Global cross-course progress bar
CSS-only celebration animations

Implications

The cost of $10 to generate 19 hours of structured educational content redefines the economics of corporate education. The same process that created 9 courses could create 90. The limitation is no longer production capacity — it is curation and editorial quality.