Automate Your Slack with a Cynical AI Agent
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Transform your Slack experience by integrating a witty, cynical AI agent powered by Langchain and n8n. This workflow filters out bot messages and enables human-like interactions for enhanced team communication and support.
About This Workflow
This n8n workflow revolutionizes Slack communication by deploying a Langchain-powered AI agent with a distinct persona. Mimicking the sharp wit and disdain of Gilfoyle from Silicon Valley, this agent responds to messages while filtering out the noise of automated bot interactions. It leverages memory to maintain conversation context, can access tools like SerpAPI and Wikipedia for information retrieval, and seamlessly posts its responses back to Slack, all while ensuring only genuine user messages trigger its capabilities. This setup is ideal for creating intelligent, engaging, and even humorous automated responses within your team's Slack channels.
Key Features
- Intelligent Message Filtering: Automatically identifies and ignores bot messages in Slack, ensuring your AI agent only interacts with human users.
- Persona-Driven AI: Employs a unique, cynical persona (inspired by Gilfoyle) for engaging and memorable AI interactions.
- Conversational Memory: Stores conversation history by channel ID, allowing for context-aware and coherent dialogues.
- Tool Integration: Seamlessly integrates with powerful tools like SerpAPI and Wikipedia for real-time information retrieval and enriched responses.
- Customizable System Prompts: Easily tailor the AI's behavior and personality through configurable system messages.
How To Use
- Webhook Setup: Configure the 'Webhook' node to receive incoming Slack messages. Ensure the
pathis set to a unique identifier (e.g.,slack-gilfoyle). - Message Filtering: Connect the 'Webhook' to the 'Is user message?' node. This node filters out messages from bots by checking for the absence of
bot_id. - AI Agent Configuration: Connect the 'Is user message?' node (main output) to the 'AI Agent' node. Populate the
textparameter with={{ $json.body.event.text }}and customize thesystemMessagein theoptionsfor your desired AI persona. - Tool Integration: Connect the 'AI Agent' node's
ai_tooloutput to the 'SerpAPI' and/or 'Wikipedia' nodes. Configure these tool nodes with your respective API credentials. - Memory Management: Connect the 'AI Agent' node's
ai_memoryoutput to the 'Simple Memory' node. Set thesessionKeyto dynamically store conversation history based on the channel ID. - Chat Model Setup: Connect the 'AI Agent' node's
ai_languageModeloutput to the 'OpenAI Chat Model' node. Select your preferred OpenAI model (e.g.,gpt-4o-mini) and configure your OpenAI API credentials. - Response Sending: Connect the 'AI Agent' node's
mainoutput to the 'Slack' node. Thetextparameter should be set to={{ $json.output }}to send the AI's response. Configure theuserparameter to the original sender if desired, and add your Slack API credentials.
Apps Used
Workflow JSON
{
"id": "93ef7d0b-b98d-474e-9d1a-2a2d746ac496",
"name": "Automate Your Slack with a Cynical AI Agent",
"nodes": 13,
"category": "Operations",
"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: 93ef7d0b-b98d...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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