How AI Agents Work: LLMs, Tools, Memory and RAG Explained
Chapter 1, Video 2 · 13:33
Learn how AI agents work step by step: understanding the user's goal, planning, calling tools, observing results, using memory and RAG, and completing real tasks safely with human approval and guardrails.
What you will learn
- How AI agents understand a user's goal from natural language
- How a large language model acts as the agent's reasoning engine
- How agents plan and break complex tasks into steps
- How tool calling and API integration work
- How agents observe results and adjust, in the agent execution loop
- Short-term memory, long-term memory and context management
- Retrieval-augmented generation (RAG) explained
- Human-in-the-loop approval, error handling and retries
- Agent security, prompt injection defence and guardrails
- A complete real-world agent workflow and architecture