AI Tutorial

An interactive, open-source tutorial for building production AI systems. Every example runs in your browser via StackBlitz — no setup required. Multi-provider support: OpenAI, Gemini, and Claude.

Live site: aitutorial.dev

Modules

Context Engineering & Prompt Design

LLM fundamentals, structured prompts (XML, JSON, few-shot), advanced techniques (CoT, self-consistency, chaining), prompt security, model selection, and cost optimization.

Retrieval Augmented Generation (RAG)

Core RAG pattern, lexical/semantic/hybrid search, chunking strategies, PDF processing, evaluation metrics, reranking, and advanced patterns (GraphRAG, iterative, agentic, hybrid data).

AI Agents

LangChain agents with tool calling, MCP servers (multi-server architecture), thread-based memory (MemorySaver), business rule validation, security guardrails (PII, jailbreak, output filtering), and tool selection optimization.

Coming Soon

Multi-Agent Systems, Fine-Tuning, Evaluation & Observability, Data Governance.

Development

Built with Mintlify.

npx mintlify dev

Preview at http://localhost:3000.

Repositories

• Website — Documentation site (this repo)
• TypeScript Examples — Runnable code examples

Authors

• Pablo Luna (LinkedIn)
• Paulo Veiga (LinkedIn)

License

See LICENSE file for details.