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Build AI agents with JavaScript: LLM basics, the OpenAI API, tool calling, RAG, LangChain, n8n and production. 9 parts, 106 concept cards and 50 flashcards. Each card explains one idea in plain English, with an analogy and an example.

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  1. Part 0110 concepts

    LLM basics

    Tokens, context windows, temperature, and why models forget everything between calls.

  2. Part 029 concepts

    OpenAI API

    Chat completions, the messages array, streaming and structured output.

  3. Part 0310 concepts

    Tool calling

    Describe functions with a JSON schema and let the model ask your code to run them.

  4. Part 0411 concepts

    Agents

    The agent loop: think, call a tool, observe, repeat until the goal is met.

  5. Part 0514 concepts

    Embeddings + RAG

    Turn text into vectors, search them, and ground answers in your own data.

  6. Part 0614 concepts

    LangChain / LangGraph

    Chains, graphs, shared state and checkpoints for multi-step agents.

  7. Part 0712 concepts

    Hugging Face

    Open models, the Hub, pipelines and hosted inference.

  8. Part 0813 concepts

    n8n

    Visual workflows that call models and tools with very little code.

  9. Part 0913 concepts

    Production

    Guardrails, memory, tracing, evals, cost control and MCP: what makes an agent senior-grade.