AI Agents
Example of automatically correcting JSON output with a language model
11 nodes
557
196
Automatic trigger
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Workflow Description
An automation template that leverages LLM chains with OpenAI to process and analyze inputs, then transforms results into structured data ready for immediate use in other applications and workflows.
How it works
- 1.Trigger the workflow manually or automatically
- 2.Process text through an advanced LLM chain
- 3.Analyze outputs and auto-correct errors
- 4.Structure results into logical data format
- 5.Send processed data to connected applications
Use cases
- Automatically summarize and extract insights from long-form content
- Classify customer feedback and sentiment analysis
- Generate contextual responses to user inquiries
- Transform unstructured data into organized, actionable information
Requirements
- Valid OpenAI API key configured
- Understanding of prompt engineering best practices
- Stable internet connection for API calls
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
LLM Chain
Output Parser
OpenAI
Details
Trigger
Automatic trigger
Nodes
11
Apps
3
Views
557
Downloads
196
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
Prompt
Set
LLM Chain
LLM Chain
Structured Output Parser
Output Parser Structured
Auto-fixing Output Parser
Output Parser Autofixing
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
OpenAI Chat Model
OpenAI
OpenAI Chat Model1
OpenAI
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