AI Agents
Intelligent agent workflow with automated data processing
11 nodes
308
149
Automatic trigger
Workflow Description
A workflow powered by LLM Chain and OpenAI that deploys an intelligent agent to automatically process, analyze, and structure incoming data. Includes automatic error correction and output formatting for reliable results at scale.
How it works
- 1.Trigger the agent via manual activation or external event
- 2.Pass data through LLM Chain connected to OpenAI for intelligent analysis
- 3.Parse and structure responses using Structured Output Parser for consistent formatting
- 4.Apply autofix correction when parsing errors occur to ensure output integrity
Use cases
- Extract and categorize customer inquiries automatically with high accuracy
- Process unstructured text data and convert it into organized, standardized formats
- Generate intelligent responses to recurring questions based on business context
Requirements
- Active OpenAI API key with appropriate permissions
- Understanding of prompt engineering to guide agent behavior effectively
- Properly formatted input data matching the workflow expectations
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
LLM Chain
OpenAI
Output Parser
Details
Trigger
Automatic trigger
Nodes
11
Apps
3
Views
308
Downloads
149
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (11)
/
When clicking "Execute Workflow"
Manual Trigger
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Basic LLM Chain
LLM Chain
Prompt
Set
OpenAI Chat Model
OpenAI
Auto-fixing Output Parser
Output Parser Autofixing
OpenAI Chat Model1
OpenAI
Structured Output Parser
Output Parser Structured