Effortlessly Tune Your AI Agent's System Prompts
detail.loadingPreview
Revolutionize your AI agent's performance with the System Prompt Tuner. This n8n workflow takes your feedback on agent behavior and generates optimized system prompts using advanced AI.
About This Workflow
Introducing the System Prompt Tuner, a powerful n8n workflow designed to refine and enhance your AI agents' system prompts. This tool simplifies the complex process of prompt engineering by allowing you to provide specific feedback on your agent's performance. Simply input details about your agent, what's working well, what's not, and optionally provide examples of prompts and outputs. The workflow then leverages the capabilities of LangChain and OpenAI's GPT-4o model to analyze your input and generate a highly optimized, improved system prompt along with a clear explanation of the changes. Finally, the results are delivered directly to your inbox, making iterative prompt improvement a seamless experience.
Key Features
- Automated Prompt Analysis: AI-driven analysis of agent performance based on your detailed feedback.
- Intelligent Prompt Generation: Creates optimized system prompts from scratch or by modifying existing ones.
- Actionable Improvement Summaries: Provides clear explanations of the changes made to the prompt and why.
- Seamless Feedback Loop: Facilitates continuous improvement of AI agent behavior.
- Direct Email Delivery: Receives updated prompts and summaries directly to your inbox.
How To Use
- Configure the Trigger: Set up the 'User inputs' node with your desired form title, description, and input fields.
- Define AI Agent Prompt: In the 'AI Agent' node, map the form fields from the trigger to construct the prompt for the AI model. Ensure you include all relevant performance feedback.
- Select AI Model: Configure the 'OpenAI Chat Model' node with your preferred OpenAI model (e.g., GPT-4o).
- Set Up Output Parser: In the 'Structured Output Parser' node, provide the JSON schema for the AI's expected output (as defined in the 'AI Agent' node's system message).
- Configure Email Notification: Customize the 'Gmail' node with your recipient email address, subject line, and HTML message, using expressions to pull in data from the AI's output and user inputs.
- Activate the Workflow: Once configured, activate the workflow to start tuning your AI agent prompts.
Apps Used
Workflow JSON
{
"id": "e71461f4-3027-429d-a6d4-87424dc388e3",
"name": "Effortlessly Tune Your AI Agent's System Prompts",
"nodes": 19,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: e71461f4-3027...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
Statistics
Related Workflows
Discover more workflows you might like
Effortless Bug Reporting: Slack Slash Command to Linear Issue
Streamline your bug reporting process by instantly creating Linear issues directly from Slack using a simple slash command. This workflow enhances team collaboration by providing immediate feedback and a structured approach to logging defects, saving valuable time for development and QA teams.
Automated PR Merged QA Notifications
Streamline your QA process with this automated workflow that notifies your team upon successful Pull Request merges. Leverage AI and vector stores to enrich notifications and ensure seamless integration into your development pipeline.
Visualize Your n8n Workflows: Interactive Dashboard with Mermaid.js
Gain unparalleled visibility into your n8n automation landscape. This workflow transforms your n8n instance into a dynamic, interactive dashboard, leveraging Mermaid.js to visualize all your workflows in one accessible place.