From Assistant to Autonomous Agent

So far, our AI was locked in a chat box (like ChatGPT): it gave ideas, but couldn’t open your emails or modify your files. In this module, we turn that "brain" into a real autonomous worker able to act in the real world — and we see how to build it without coding.

Level: Advanced · Estimated time: 45–55 min reading + workshop · Prerequisites: Modules 1 and 2.

🎯 By the end of this module, you will be able to:

• Explain how we give an AI “hands” (tools, and the MCP standard).
• Describe the ReAct loop (Reason → Act → Observe → Loop) that makes an agent autonomous.
• Compare multi-agent approaches (CrewAI, LangGraph, AutoGen / MAF).
• Decide when a single agent is enough — and when a team is worth its cost.
• Build an agent without code with the Make / n8n / Airtable stack.
• Connect an agent to your documents with RAG (documentary memory, no retraining).