Building a Team of AI Agents for Efficiency

Jan 13, 2025

Lecture Notes on Building a 20 AI Agent Team for Workflow Automation

Introduction

  • Presenter: Ben
  • Topic: Building a 20 AI agent team to manage and automate tasks across a tech stack.
  • Objective: Demonstrate the capabilities of a complex AI agent system and provide a step-by-step setup guide.

Overview of the AI Agent System

  • Access Points:
    • Communication Channels: WhatsApp, LinkedIn, Email, Calendar, Slack, Voice Calling.
    • Project Management: CRM, Notion, Google Docs, Google Drive.
  • Agents:
    • Includes research agents for leads/topics.
    • Specialized content agents for writing and publishing.
  • Interaction: Can use voice messages through WhatsApp.
  • Strength: Automates complex workflows with simple English commands.

Capabilities and Examples

  • Example Tasks:
    • Find flight options, add to Google Docs, send via WhatsApp.
    • Call friend to reschedule lunch, update calendar.
    • Research leads, update CRM, notify on Slack.
    • Write and publish blog posts and LinkedIn posts.
  • Scheduling: Can automate daily tasks by scheduling messages.

System Demo

  • Example Command Execution:
    • Retrieve unread messages, check meetings, compile into Google Docs.
    • Communication delegation through subagents: Communication manager delegates tasks to subagents for each channel.

System Structure

  • Architecture:
    • Four Manager Agents: Communication, Project Management, Research, Content.
    • Each manager agent oversees subagents.
    • Subagents perform specific tasks with limited responsibilities.
  • Tools and Technologies:
    • Use of Relevance AI and Make.com for integrations.
    • Tools are linked with specific functionalities like retrieving messages, creating docs, etc.

Detailed Breakdown of Setup

  • Director Agent:
    • Oversees entire workflow, delegates tasks, ensures quality.
    • Communicates back to the user.
  • Manager Agents:
    • Orchestrate subagents.
    • Perform quality checks, delegate tasks, and report.
  • Subagents:
    • Execute specialized tasks in specific software tools.

Example Use Cases

  • Travel Planning: Finding flights and sending options to contacts.
  • Content Creation: Researching trends, writing, and posting blogs and LinkedIn posts.
  • Lead Management: Research and update CRM, notify contacts with generated information.

Future Implementations

  • Innovation: Potential integration of a GP01 model to aid in planning and delegation tasks more efficiently.
  • Customizable Workflows: Ability to automate workflows through simple language commands.

Conclusion

  • Potential: Endless possibilities with AI agent systems for business automation.
  • Resources: System template available in presenter’s community.
  • Engagement: Encouragement to join the community for further learning and support.

Note: For more detailed walkthroughs and examples, refer to additional resources and tutorials available in the presenter’s community.