intermediate~3h
5 Levels of Agentic AI + 4 Layers of Agentic AI
Two complementary mental models for agentic systems — the 5-level maturity progression from basic responder to fully autonomous agent, and the 4-layer architecture stack from LLM foundation to agentic infrastructure.
4 Layers of Agentic AI
Each layer builds on the one below it — LLM basics at the foundation, up through single-agent behavior, multi-agent coordination, to the production infrastructure that wraps it all.
4 Layers of Agentic AI
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5 Levels of Agentic AI
Progression of autonomy — how much control shifts from human to LLM at each level.
| Who controls the flow | What the LLM does | |
|---|---|---|
| Level 1: Basic Responder | Human guides the entire flow | Responds within a fixed, human-defined flow |
| Level 2: Router | Human defines the paths | Picks which predefined path to take |
| Level 3: Tool Calling | Human defines the tools | Decides when and how to use them |
| Level 4: Multi-Agent | Human defines the hierarchy | A manager-agent controls execution flow across sub-agents |
| Level 5: Autonomous | LLM operates independently | Generates and executes its own code |
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Quiz Qs
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▶📚 Prerequisites(1)
🎓 Learning objectives
- •Rank agentic systems along the 5-level progression (Basic Responder, Router, Tool Calling, Multi-Agent, Autonomous) by how much control shifts from human to LLM
- •Identify which layer of the 4-layer stack (LLMs, AI Agents, Agentic Systems, Agentic Infrastructure) a given concern belongs to
- •Use both models together to diagnose gaps in an agentic system's design
- •Explain why each outer layer in the 4-layer stack adds reliability, coordination, or governance rather than raw capability
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