Build AI Agents for anything & everything - here’s how
AI Summary
In this video, David Andre teaches viewers how to build AI agents using NA10 and MCP technologies, emphasizing the importance of deployment.
Key Points:
- Introduction to AI Agents
- Overview of the AI agent landscape and the potential for growth in using MCPS.
- David expresses excitement about building AI agents by combining NA10 and MCPS.
- Reasons to Use NA10
- Open-source and versatile; can run anywhere.
- Visual interface makes it easy to understand.
- Simple setup process.
- Highly customizable with powerful AI capabilities.
- Common Mistake
- Many people fail to deploy their AI agents. Deployment allows agents to run 24/7, saving time.
- David shares personal examples, such as an email agent that categorizes incoming emails automatically.
- Hosting AI Agents
- Recommended to host on Hostinger, specifically the KVM2 plan for optimal performance.
- Step-by-step guide on setting up a VPS with NA10 using Hostinger.
- Instructions on installing Docker and pulling the latest NA10 image.
- Setting Up Workflows
- Create workflows in NA10 to build AI agents.
- Importance of saving changes frequently in NA10.
- Example of adding a simple calculator tool.
- Connecting Tools
- Demonstration of how to connect MCP tools to workflows in NA10.
- Guidance on enabling proper permissions and settings for successful connections.
- Building Complex Automations
- Create agents capable of complex actions, such as generating leads and integrating with Google Sheets.
- Details on how to handle errors and troubleshoot during setup, emphasizing persistence in problem-solving.
- Importance of specifications for data flow in setups to ensure functionality.
- Conclusion and Encouragement
- David encourages viewers to take action, build, and deploy their AI agents to automate repetitive tasks.
- Reminder to use Hostinger for reliable 24/7 hosting of AI agents, and details for using the code for discounts.