In today's fast-paced digital world, managing and automating tasks across various platforms can be a daunting challenge. But what if you could have a team of AI agents that could handle almost any task or workflow across your entire tech stack? In this tutorial, I'll guide you through building a 20 AI agent team that can revolutionize the way you manage your digital life. This setup is not just a glimpse into the future of AI agents and automation; it's a practical solution you can implement today.
Introduction to the AI Agent Team
Imagine having a team of AI agents that can access all your software, communication channels, project management tools, and more. This AI agent team can automate complex workflows with a simple English sentence. Whether it's finding flight options, rescheduling meetings, or publishing content, the possibilities are endless. In this article, I'll provide a detailed step-by-step breakdown of how to set up this system, complete with a demo and a template available in my community.
Meet Your AI Agent Team
Before diving into the setup, let's get acquainted with the AI agent team. This team has access to all my communication channels, including WhatsApp, LinkedIn, email, calendar, Slack, and even voice calling. It also integrates with project management tools like CRM, Notion, Google Docs, and Google Drive. The team includes research agents for lead and topic research and specialized content agents for writing and publishing across social media and blogs.
The Power of Automation
The real strength of this system lies in its ability to automate complex workflows across multiple software platforms. For example, it can find flight options, add them to a Google Doc, and send it to someone on WhatsApp. It can call a friend to reschedule lunch and update your calendar with the outcome. It can research new leads, add them to your CRM, and notify your team on Slack if they are qualified. All of this can be done from a single request on WhatsApp.
Setting Up the AI Agent Team
Step 1: Understanding the System Architecture
The system is set up in Relevance AI, an AI agent and tool builder platform. It uses make.com for integrations not available in Relevance AI. The architecture includes a director agent, manager agents, and sub-agents, each with specific tools and responsibilities.
Step 2: Configuring the Director Agent
The director agent is the central figure in the system, responsible for overseeing and orchestrating the workflow of manager agents. It breaks down tasks into subtasks and assigns them to the appropriate manager agents. It also verifies the execution of tasks and communicates back with you.
Step 3: Setting Up Manager Agents
Manager agents are responsible for specific areas like communication, project management, research, and content. Each manager agent has sub-agents with specialized tools to perform tasks within their domain.
Step 4: Integrating Communication Channels
The communication manager agent handles all communication channels, including WhatsApp, LinkedIn, email, calendar, and Slack. It retrieves unread messages, sends messages, and updates calendar events.
Step 5: Automating Project Management
The project manager agent integrates with CRM, Google Docs, and Notion. It can add contacts to your CRM, create Google Docs, and update your content calendar.
Step 6: Conducting Research
The research manager agent uses tools like Google Search and LinkedIn scraper to conduct in-depth research on leads and topics. It ensures the accuracy of research results before passing them on.
Step 7: Creating and Publishing Content
The content manager agent oversees the creation and publication of content. It uses specialized agents for writing blog posts and LinkedIn posts, ensuring they match the original query before publishing.
Automating Workflows with Human Language
One of the most exciting aspects of this system is its ability to automate workflows using simple human language. You can schedule messages for tasks you want your agent to perform daily. For example, you can instruct your agent to create a Google Doc with all unread messages every morning.
Conclusion
Building a 20 AI agent team to automate your tech stack is not just a futuristic concept; it's a practical solution you can implement today. By leveraging the power of AI agents, you can streamline your digital life and focus on what truly matters. The template for this setup is available in my community, and I encourage you to explore the possibilities of AI automation.
FAQs
- How do I customize the AI agent team for my specific needs?
- You can customize the AI agent team by modifying the prompts, tools, and flows to fit your specific requirements. The template provided in my community can serve as a starting point.
- Can I use this AI agent team for personal tasks?
- Yes, the AI agent team can be customized for personal tasks. Simply adapt the setup to include your personal communication channels and project management tools.
- What platforms does the AI agent team integrate with?
- The AI agent team integrates with platforms like WhatsApp, LinkedIn, email, calendar, Slack, CRM, Notion, Google Docs, and Google Drive.
- Is it possible to add more agents to the team?
- Yes, you can expand the AI agent team by adding more agents and tools to handle additional tasks and workflows.
- How do I get started with Relevance AI and make.com?
- To get started, create accounts on Relevance AI and make.com. Follow the step-by-step instructions in this article to set up your AI agent team. The template in my community can help you get started quickly.
