Automated workflow
Workflow Description
An automated workflow integrating local language models via Ollama with LLM chains and Twitter/X functionality, enabling intelligent data processing with conditional logic, result aggregation, and multi-channel distribution through a structured node architecture.
How it works
- 1.Receive input through manual trigger or external workflow execution
- 2.Process data via LLM Chain and Ollama models with dynamic Chat Ollama conversations
- 3.Split outputs and apply filters to refine results based on conditions
- 4.Merge processed data and aggregate results before distribution
- 5.Post final outputs to Twitter/X
Use cases
- Publish intelligent content on social media with advanced natural language processing
- Process multiple queries automatically, filter results, and aggregate them for batch distribution
Requirements
- Ollama installed with compatible local language models configured
- Valid Twitter/X API credentials for authenticated posting to your account
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
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 (18)
Code
Code
Split Out1
Split Out
Basic LLM Chain4
LLM Chain
Ollama Chat Model
Lm Chat Ollama
When clicking ‘Test workflow’
Manual Trigger
Edit Fields
Set
Merge
Merge
Filter
Filter
When Executed by Another Workflow
Execute Workflow Trigger
Aggregate
Aggregate
Merge1
Merge
Basic LLM Chain
LLM Chain
Ollama Model
Lm Ollama
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note