Level 1 — GenAI & RAG Basics
Every agent that fails in production failed because its builder skipped this level.
Nine articles. The foundation. Start here.
Articles
| # | Article | Agenthood Component |
|---|---|---|
| 1 | Generative AI Introduction | The Society's position in the GenAI ecosystem |
| 2 | Basics of LLMs | ILLMProvider, 7 providers |
| 3 | Prompt Engineering | PromptBuilder, member SKILL.md files |
| 4 | LLM Parameters | LLMRequest type |
| 5 | Chunking Strategies | ChunkStrategy, FixedSizeChunkStrategy, MarkdownHierarchicalChunkStrategy |
| 6 | RAG Fundamentals | Retriever, Indexer, AgenticRAG |
| 7 | Vector Databases | VectorStore (LanceDB), ADR-010 |
| 8 | API Wrappers | ILLMProvider as abstraction pattern |
| 9 | Tool Integration | ISkillManifest, SkillDiscovery, ReActLoop |
What Level 1 covers
The nine concepts every developer must understand before building agents. These are not theory — each one maps to a component in Agenthood that implements it, enforces it, or fails loudly when it's missing.
Finish Level 1, then go to Level 2 — AI Agent Essentials.