Building an Army of AI Agents with Cloud 4 Opus

Overview

• Objective: Utilize Cloud 4 Opus to generate a comprehensive set of AI workflows with just one prompt.
• Process: Create a master orchestrating agent, develop specialized subworkflows, and dynamically add tools to sub-agents without coding.
• Time Efficiency: This entire process takes only minutes.

Methods

• Two Approaches:
  1. Using a cloud project.
  2. Sending a straight chat message.
• Demonstration: Proof of concept using JSON files and a master agent named "retrofure master assistant" that coordinates subworkflows.

Key Features of Cloud 4 Opus

• Utilizes extended thinking and web search for information supplementation.
• Creates drafts of multiple agents in minutes.
• Generates JSON files for agents which can be imported and used directly.

Workflow Creation

• Agent Structure:
  • Central orchestrating agent.
  • Subworkflows with designated tools.
• Tools and Functionality: Agents can dynamically decide which models (e.g. ChatGPT, OpenAI, Anthropic) best suit the task.

Logic and Functionality

• AI Agent Module in NAIDEN: Utilizes Langchain framework to centralize agent functionality.
• JSON Utilization: All workflows are based on JSON, allowing for manipulation and generation via language models.

Prompt Design

• Goal: Reliable creation of JSONs for orchestrating and sub-agents.
• Structure:
  • Expert knowledge in workflow architecture.
  • Emphasis on valid JSON free of property value errors.
  • Two-stage process: brainstorming agent names and selecting suitable tools.

Example Businesses

1. Flexiflow Studios: TikTok agency using tools like ClickUp, Air Table, Slack, and Google.
2. Unicorn Milkshake: Dessert place utilizing Zoom, monday.com, and other tools.
3. Chaos Coffee: Coffee shop with ClickUp, Air Table, and Google Sheets integration.

Project Setup

• Cheat Sheet & JSON: A special agents_tools.json file includes multiple tools attached to a single agent.
• Knowledge Base Creation: Provides examples of tool integration to guide Cloud Opus in creating accurate workflows.

Practical Application

• Drafting Workflows: Efficiently creates a starting point for AI agent networks.
• Agent Examples: Flexiflow Studios example with agents handling client requests, project setup, and team coordination.

Conclusion

• Tools and Techniques: Use JSON, Langchain, and Cloud 4 Opus to swiftly build AI agent systems.
• Resources: First prompt and a sample agent network available for further exploration.

Final Notes

• Limitations: While initial drafts provide a strong foundation, further refinement is often necessary.
• Community Access: Access to advanced prompts and guides through community membership.