AI agents explained: Build your first agent in 8 minutes

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