An AI-powered customer service chatbot that automatically assists users, retrieves information from internal documents and the web, and seamlessly escalates to a human agent when needed. Ideal for automating customer inquiries and support while ensuring human backup for complex issues.
Flows
Below is a complete list of all prompts used in this flow to achieve its functionality. Prompts are the instructions given to the AI model to generate responses or perform actions. They guide the AI in understanding user intent and generating relevant outputs.
A widget that displays the welcome prompt to the user at the beginning of the chat.
👋 Welcome to the AI Customer Service Chatbot!
I’m here to assist you with any questions or issues using AI-powered responses 🤖. If you need further help, I’ll seamlessly hand off the conversation to a human agent for more personalized support.
Ask me anything, and let’s get started! ✨💬
System prompt for the agent that guides its behavior in helping and answering all user questions and tasks.
your goal is to answer all questions and help user with all requested tasks
Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.
The Chat Opened Trigger component detects when a chat session starts, enabling workflows to respond instantly as soon as a user opens the chat. It initiates flows with the initial chat message, making it essential for building responsive, interactive chatbots.
The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.
Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.
The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.
The Chat History component in FlowHunt enables chatbots to remember previous messages, ensuring coherent conversations and improved customer experience while optimizing memory and token usage.
Explore the Tool Calling Agent in FlowHunt—an advanced workflow component that enables AI agents to intelligently select and use external tools to answer complex queries. Perfect for building smart AI solutions that require dynamic tool usage, iterative reasoning, and integration with multiple resources.
FlowHunt's Document Retriever enhances AI accuracy by connecting generative models to your own up-to-date documents and URLs, ensuring reliable and relevant answers using Retrieval-Augmented Generation (RAG).
FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.
Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.
Connect the FlowHunt Chatbot to your customer service tools for seamless transitions to human support. The AI agent smartly escalates conversations, reducing errors and improving satisfaction.
Flow description
This workflow implements a scalable, AI-powered customer service chatbot designed to efficiently handle user queries, provide intelligent responses using information retrieval and web search, and seamlessly escalate conversations to human agents when necessary. The system is structured for automation and high adaptability, making it suitable for organizations aiming to enhance customer support while reducing manual workload.
The flow is structured around several interconnected components (nodes) that together provide:
Chat Opened Trigger: Detects when a user opens the chat interface.
Message Widget: Displays a warm welcome message:
👋 Welcome to the AI Customer Service Chatbot!
I’m here to assist you with any questions or issues using AI-powered responses 🤖. If you need further help, I’ll seamlessly hand off the conversation to a human agent for more personalized support.
Ask me anything, and let’s get started! ✨💬
Chat Output: Presents the welcome message to the user in the chat interface.
To answer user queries intelligently, the AI agent can access multiple sources:
Tool Calling Agent: The AI agent orchestrates the response process:
Your goal is to answer all questions and help user with all requested tasks.
Chat Output: The response generated by the AI agent is displayed to the user in the chat.
| Component | Role/Functionality |
|---|---|
| Chat Opened Trigger | Detects chat session start |
| Message Widget | Displays welcome message |
| Chat Input | Captures user messages and attachments |
| Chat History | Stores recent messages for context-aware AI responses |
| Document Retriever | Searches internal documents for relevant answers |
| Google Search | Fetches and summarizes internet results for broader coverage |
| URL Retriever | Extracts detailed content from URLs returned by Google Search |
| Contact Human Assist Tool | Enables seamless escalation to human support (email, website) |
| Tool Calling Agent (AI Agent) | Integrates all tools, manages conversation flow, generates final responses |
| Chat Output | Presents messages to the user |
This workflow automates much of the customer support process, ensuring that users get fast, accurate, and context-aware assistance while providing a safety net for escalation to human experts when needed. It is ideal for organizations looking to scale their support operations efficiently without compromising quality.
We help companies like yours to develop smart chatbots, MCP Servers, AI tools or other types of AI automation to replace human in repetitive tasks in your organization.
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