Build AI Agent That Responds to Messages and Posts on X
Workflow Description
An artificial intelligence agent that receives messages through a chat interface, processes them using an advanced language model while maintaining conversation memory, then automatically publishes responses to the X platform without manual intervention.
How it works
- 1.Receive incoming messages via the enabled chat trigger interface
- 2.Process text using OpenAI model with contextual memory support
- 3.Extract key information from the generated response
- 4.Execute required tools and operations when needed
- 5.Publish the final response to the X/Twitter account automatically
Use cases
- Create an intelligent assistant that responds to customers and shares answers publicly
- Automate comment and message management with personalized response posting
- Build an advanced bot that learns from previous context and improves its answers
Requirements
- Valid API key from OpenAI
- Active X/Twitter account with authenticated application
- Set up chat interface and enable message reception
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)
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note
Sticky Note
Sticky Note5
Sticky Note
Sticky Note4
Sticky Note
Sticky Note3
Sticky Note
Sticky Note6
Sticky Note
When chat message received
Chat Trigger
OpenAI Chat Model
OpenAI
Simple Memory
Memory Buffer Window
When Executed by Another Workflow
Execute Workflow Trigger
OpenAI Chat Model1
OpenAI
Work out activity type and number of people1
Information Extractor
Call the API
HTTP Request
Activity Tool
Tool Workflow
Set 'response' value
Set
Combine
Aggregate
AI Agent
Agent