Start your AI Journey

Follow the codelab → https://goo.gle/3Q5TSt3
GitHub repo → https://goo.gle/4fsahT8
Google Agent Development Kit (ADK) → https://goo.gle/3Q3enqf

At the simplest level, an AI agent doesn’t just answer—it decides and takes action. In this video, Smitha goes beyond basic chatbots and demonstrates how to build a fully autonomous, self-correcting multi-agent system from scratch using Google’s Google Agent Development Kit (ADK).

First, Smitha breaks down the theory behind modern agents: the ReAct Framework (reasoning and acting) and the 3 main agent patterns (sequential, reactive, and planning). Then, she jumps straight into Python to build a practical *Blog Writing Agent*. Watch along and learn how to combine *Planner* and *Writer* agents with validation checkers and loop agents to create an AI that catches its own mistakes and automatically retries until it gets it right.

Chapters:
00:00 – AI Agents Explained
01:05 – The ReAct Framework Explained
02:15 – The 3 Types of AI Agents (Sequential, Reactive, Planning)
03:30 – Project Overview: The Auto-Correcting Blog Writer
04:15 – Setting Up Google ADK & UV
04:50 – Coding the Planner Agent
05:40 – Adding Auto-Correction (Validation Checkers & Loop Agents)
06:50 – Coding the Blog Writer & Root Agent
08:20 – Testing the AI in the ADK Web UI
09:40 – What’s Next? (Connecting to MCP Servers)

More resources:
ReAct Paper → https://goo.gle/4oa1oQ9

🔗 Connect with Smitha online:
YouTube → https://goo.gle/Smitha-on-YouTube
Linkedin → https://goo.gle/Smitha-on-LinkedIn
X → https://goo.gle/Smitha-on-X

#AIAgents #GoogleADK #PythonTutorial #SoftwareEngineering #MachineLearning #LLMs

Watch more Modern AI Agents: From Theory to Production → https://goo.gle/Learn-with-Smitha
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#AIAgents #Gemini

Speaker: Smitha Kolan
Products Mentioned: Agent Development Kit, Gemini

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