Creating an AI Agent Team for Automation

Jan 4, 2025

Building a 20 AI Agent Team for Automation

Introduction

  • Demonstration on building a 20 AI agent team to manage and automate tasks.
  • Future potential of AI agent setups.
  • System has access to various software (communication, project management, research, content creation).
  • Interaction via voice messages on WhatsApp.

Capabilities of the AI Agent System

  • Automates workflows across multiple software with simple commands.
    • Example tasks include finding flights, scheduling meetings, researching leads, publishing content.
  • Scheduling capabilities for routine tasks.
  • Interaction example: retrieving unread messages, creating a Google Doc, and responding to specific queries.

System Setup Overview

  • Setup using Relevance AI and Make.com for integrations.
  • Relevance AI: AI agent and tool builder.
  • Make.com: workflow automation tool.

Detailed Setup Breakdown

System Architecture

  • Director Agent: Orchestrates and delegates tasks.
  • Manager Agents: Oversee specific areas (communication, project management, research, content).
  • Sub-Agents: Handle specific tasks and have access to tools.

Tools and Capabilities

  • Communication: WhatsApp, LinkedIn, Slack, email, calendar.
  • Project Management: CRM, Google Docs, Notion.
  • Research and Content: Specialized agents for research and content creation.

Automation and Scheduling

  • Daily automated tasks can be scheduled.
  • Example: retrieving all unread messages daily.

Practical Application

Example Workflows

  • Retrieving and summarizing messages.
  • Booking flights and communicating options.
  • Content creation and social media posting.

Technical Setup

  • Use of Make.com scenarios for API calls and integrations.
  • Setting up webhooks and API connections.
  • Database usage for storing contact information.

Advanced Features

  • Voice Call Agent: Can call contacts and update calendars based on conversations.
  • Research Agent: Uses Google SERP API for flight and hotel research.
  • Content Management: Posts to social media and websites.

Conclusion

  • The system is complex but offers significant automation capabilities.
  • Ideal for automating workflows with human language commands.
  • Continuous development and enhancements planned, including GPT-0 model integration.

Resources and Community

  • Templates and community access for detailed replication.
  • Additional online resources and tutorials available for further learning.