I Built An n8n Agent That Builds Other Agents (Game Changer)
AI Summary
Summary of YouTube Video: Building AI Agents with n8n
- Introduction
- Overview of a neural network (NN) agent that creates new agents on demand through a simple prompt.
- The tool scans a database of automations and the latest documentation to streamline workflow assembly.
- Outputs a hyperlink for direct import into the user’s workspace.
- Main Workflow
- User initiates a chat to request agent creation.
- The system processes the request and invokes a secondary workflow for more complex instructions.
- Example: Creating an agent from a Google Sheet row.
- Links generated in the chat provide quick access to new workflows.
- Detailed Process Steps
- Initial vague user commands are refined using OpenAI to produce clearer instructions.
- The workflow includes:
- Triggering conditions (e.g., Slack message receipt).
- APPEND action to Google Sheets, capturing relevant data.
- Using OpenAI and Perplexity
- OpenAI clarifies and refines user requests into structured outputs.
- Perplexity tool is utilized for advanced searches that reference parties and documentation.
- Automation Library
- Developed a library of automations from the n8n marketplace, enabling pattern recognition for automated tasks.
- The automation database is able to provide relevant examples when requested via chat.
- Implementation Details
- The AI agent structure is built using JSON, ensuring proper syntax for n8n’s requirements.
- Introduces measures to reduce errors (e.g., avoiding comments in JSON).
- Final step integrates Google Drive for easy workflow management and retrieval.
- Conclusion
- All tools together simplify workflows and enable users to build functional agents rapidly.
- Video encourages experimentation with different tools and provides insights on improving JSON input quality.