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Google CAN'T STOP COOKING: FREE AI AGENTS SDK JUST DROPPED

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Someone NEEDS TO GET GOOGLE OUT THE KITCHEN IMMEDIATELY - they're changing the AI game, first with Gemini 2.5 pro, then firebase studio, and now This FREE Agent Development Kit (ADK)
Google just released their Agent Development Kit (ADK) and it's a GAME CHANGER! In this video, I break down everything you need to know about this powerful new tool that allows you to create AI agents with dynamic routing and decision-making capabilities. The ADK works with all popular LLMs (including Anthropic's Claude) and features built-in Google Search, code execution, and MCP tools integration. I'll show you how to get started, explore the key features, and explain why this might be the most exciting AI development tool released yet. With just a few lines of code, you can build agents that autonomously execute workflows, make decisions, and connect to third-party services like Postgres, Salesforce, and more. Google is absolutely COOKING right now with Gemini 2.5 Pro, Firebase Studio, and now the ADK!
Join the Skool community today:
#GoogleADK #AIAgents #AgentDevelopmentKit #Gemini25Pro #AItools #GoogleAI #DynamicRouting #MCPtools #AIOrchestration #aiworkflows
Chapters
0:00 - 0:20 Introduction to Google's Agent Development Kit release
0:20 - 0:46 Overview of ADK compatibility with various LLMs
0:46 - 1:24 Getting started with pip install and initial setup
1:24 - 2:09 Flexible orchestration: sequential vs. dynamic routing
2:09 - 2:40 Multi-agent architecture and coordination features
2:40 - 3:05 Rich tool ecosystem and MCP integration
3:05 - 3:32 Deployment options and containerization
3:32 - 4:05 Setting up your first ADK project
4:05 - 4:52 How agents make decisions with dynamic routing
4:52 - 5:29 Web UI, terminal, and API server interaction options
5:29 - 6:00 Streaming responses and interface capabilities
6:00 - 6:38 Built-in Google Search tool functionality
6:38 - 7:24 Code execution capabilities for data processing
7:24 - 8:03 Vertex AI search for private data stores
8:03 - 8:47 Third-party tool integrations (Langchain and more)
8:47 - 9:35 Google Cloud tools and enterprise connectors
9:35 - 10:02 MCP tools and Google Cloud integration
10:02 - 10:54 Using Roo/Cline to read documentation and build with ADK
10:54 - 11:35 Authentication options for various APIs
11:35 - 12:24 How LLM agents work as the "thinking part" of applications
12:24 - 13:13 Model compatibility with Claude and other providers
13:13 - 13:48 OLLAMA integration for free agent deployment
13:48 - 14:12 Final thoughts and future development plans
Google just released their Agent Development Kit (ADK) and it's a GAME CHANGER! In this video, I break down everything you need to know about this powerful new tool that allows you to create AI agents with dynamic routing and decision-making capabilities. The ADK works with all popular LLMs (including Anthropic's Claude) and features built-in Google Search, code execution, and MCP tools integration. I'll show you how to get started, explore the key features, and explain why this might be the most exciting AI development tool released yet. With just a few lines of code, you can build agents that autonomously execute workflows, make decisions, and connect to third-party services like Postgres, Salesforce, and more. Google is absolutely COOKING right now with Gemini 2.5 Pro, Firebase Studio, and now the ADK!
Join the Skool community today:
#GoogleADK #AIAgents #AgentDevelopmentKit #Gemini25Pro #AItools #GoogleAI #DynamicRouting #MCPtools #AIOrchestration #aiworkflows
Chapters
0:00 - 0:20 Introduction to Google's Agent Development Kit release
0:20 - 0:46 Overview of ADK compatibility with various LLMs
0:46 - 1:24 Getting started with pip install and initial setup
1:24 - 2:09 Flexible orchestration: sequential vs. dynamic routing
2:09 - 2:40 Multi-agent architecture and coordination features
2:40 - 3:05 Rich tool ecosystem and MCP integration
3:05 - 3:32 Deployment options and containerization
3:32 - 4:05 Setting up your first ADK project
4:05 - 4:52 How agents make decisions with dynamic routing
4:52 - 5:29 Web UI, terminal, and API server interaction options
5:29 - 6:00 Streaming responses and interface capabilities
6:00 - 6:38 Built-in Google Search tool functionality
6:38 - 7:24 Code execution capabilities for data processing
7:24 - 8:03 Vertex AI search for private data stores
8:03 - 8:47 Third-party tool integrations (Langchain and more)
8:47 - 9:35 Google Cloud tools and enterprise connectors
9:35 - 10:02 MCP tools and Google Cloud integration
10:02 - 10:54 Using Roo/Cline to read documentation and build with ADK
10:54 - 11:35 Authentication options for various APIs
11:35 - 12:24 How LLM agents work as the "thinking part" of applications
12:24 - 13:13 Model compatibility with Claude and other providers
13:13 - 13:48 OLLAMA integration for free agent deployment
13:48 - 14:12 Final thoughts and future development plans
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