AI Agent with Custom Tool and Human Fallback
detail.loadingPreview
This n8n workflow uses an AI Agent to handle user queries, leveraging custom tools for specific tasks. It includes a fallback to human support when the AI cannot resolve the query, particularly when an email address is missing.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This n8n workflow demonstrates a sophisticated approach to AI-powered customer interaction by combining the capabilities of the Langchain nodes with custom tool creation and a human escalation path. The main workflow utilizes an AI Agent that can interact with tools. A custom tool, named dont_know_tool, is designed to be used when the AI agent is uncertain or unable to answer a user's query. This tool, in turn, triggers a sub-workflow (Execute Workflow Trigger and subsequent nodes) that checks for an email address. If an email is missing, it prompts the user to provide one; otherwise, it messages a Slack channel for human assistance.
This workflow solves the problem of AI being unable to handle all user queries gracefully. It provides a structured way to:
- Delegate specific tasks to AI: The
AI Agentnode handles the primary interaction. - Create custom tools: The
dont_know_toolallows the agent to explicitly signal when it needs help or more information. - Implement conditional logic: The sub-workflow checks for user input (email address) to decide the next action.
- Facilitate human handover: When necessary, it seamlessly escalates to a human via Slack, ensuring user issues are addressed.
Key Features
- AI Agent for intelligent query handling
- Custom tool creation for specific fallback scenarios
- Email address validation and prompting
- Slack integration for human support escalation
- Workflow trigger for executing sub-processes
How To Use
- Configure Credentials: Ensure your OpenAI and Slack credentials are set up within n8n.
- Set up Slack Channel: In the
Message Slack for helpnode, configure thechannelIdto your desired Slack channel. - Initiate Conversation: Use the
Chat Triggernode to start a conversation. You can test the fallback by asking a question the AI doesn't know and not providing an email address, or by providing an email address to see the human confirmation message. - AI Agent Interaction: The
AI Agentwill process incoming messages. If it cannot answer, it will invoke thedont_know_tool. - Custom Tool Execution: The
dont_know_toolwill trigger the sub-workflow. TheCheck if user has provided emailnode will evaluate the input.
Apps Used
Workflow JSON
{
"id": "e7489431-1748-43e1-a5c6-a680521e432e",
"name": "AI Agent with Custom Tool and Human Fallback",
"nodes": 0,
"category": "AI & LLMs",
"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: e7489431-1748...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
Statistics
Verification Info
Related Workflows
Discover more workflows you might like
AI-Powered Conversational Agent with Tools
This n8n workflow creates an AI conversational agent that leverages multiple tools, including Wikipedia and a weather API, to answer complex user queries. It utilizes a buffer memory to maintain conversation context.
AI Chatbot for Health Insurance Lead Qualification and Data Enrichment
This n8n workflow creates an AI-powered chatbot that captures lead data, enriches it, and queries databases for health insurance product recommendations. It utilizes the Chat Trigger, OpenAI, and various tool nodes for comprehensive lead management.
AI Agent to Chat with Your Search Console Data using OpenAI and PostgreSQL
Leverage an AI agent to query your Google Search Console data. This n8n workflow uses OpenAI for natural language processing and PostgreSQL for chat memory, allowing interactive data retrieval.