5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems

Want to start freelancing? Let me help: https://go.datalumina.com/W9QrjUT Want to learn real AI Engineering? Go here: https://go.datalumina.com/5qdZYMX 🔗 GitHub Repository https://github.com/daveebbelaar/ai-cookbook/tree/main/agents/agent-complexity 🔗 Introduction to AI Agents https://youtu.be/bZzyPscbtI8 ⏱️ Timestamps 00:00 Introduction to AI Agent Complexity 01:44 Level 1: Augmented LLM 02:08 Level 2: Prompt Chaining & Routing (DAGs) 04:11 Level 3: LLM with Tools 08:37 Level 4: Agent Harnesses 13:29 Level 5: Multi-Agent Orchestration 16:03 Final Thoughts on Complexity Levels 19:28 What I've Been Working On 📌 Description Most AI agent tutorials skip the part that matters: what actually works when you ship to production. In this video, I walk through the 5 levels of AI agent complexity, from augmented LLMs and DAG workflows to tool-calling agents, agent harnesses, and multi-agent orchestration, with real traces from a live client system. All code examples are on GitHub using PydanticAI and the Claude Agent SDK. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!