Autogen Agents Taking Over? Trying To Create a Ridiculous Amount of Agents - Real Business Use Case
AI Summary
- Introduction to building a “unicorn” with autogen
- Inspired by a video on autogen Auto Builder
- Idea to create multiple agents and store them in a JSON file
- Use autogen to select relevant agents for tasks
- Yesterday’s progress
- Created agents: Director, Consumer CMO, Cold Email Specialist, Proofreader
- Recommended watching the previous video for context
- Today’s goal: Build an enterprise with various departments
- Created SEO team with descriptions for Junior, Senior, Critic, and Director roles
- Converted descriptions into a JSON file
- Expansion to other departments
- Marketing, Legal, Product, Finance, Data Science, HR, Sales, CSIT, R&D, Operations, PR, Strategy, BSEV Compliance, QA, Sustainability, and CSR
- Aimed to create a Junior, Senior, Critic, and Director for each department (44 agents total)
- Encountered an error due to too many roles
- Reduced the number of departments and roles per department
- Focused on Senior, Critic, and Director roles
- Task execution with selected agents
- Built a comprehensive business plan for “add scale”
- Included legal, marketing, finance, and sales planning
- Agent selection process
- Initially selected C-level agents
- Adjusted to include seniors and critics from each department
- Understanding the agent selection logic
- Explored the agent Builder python file
- Logic based on task complexity and agent roles
- Attempted to include user input in agent selection
- Tried to add a “user agent” to the list
- Plan to research and understand the agent Builder file further
- Final thoughts
- Interested in building a large pool of agents for tasks
- Seeking feedback on incorporating human input into the script
- Encourages likes, comments, and subscriptions for content direction