Prompt
Creates a dynamic prompt template for generating 5 business names based on user input and chat history.
Easily generate creative and relevant business name ideas using AI. Users provide a short description about their business and instantly receive five tailored name suggestions. Perfect for entrepreneurs and startups looking for brand inspiration.

Flows
Creates a dynamic prompt template for generating 5 business names based on user input and chat history.
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 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 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.
Learn how FlowHunt's Prompt component lets you define your AI bot’s role and behavior, ensuring relevant, personalized responses. Customize prompts and templates for effective, context-aware chatbot flows.
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 Generator component in FlowHunt—powerful AI-driven text generation using your chosen LLM model. Effortlessly create dynamic chatbot responses by combining prompts, optional system instructions, and even images as input, making it a core tool for building intelligent, conversational workflows.
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.
Flow description
This workflow is designed to assist users in generating creative and suitable business names automatically. It is particularly useful for entrepreneurs and business owners seeking inspiration or looking to quickly brainstorm name ideas tailored to their business concept. The workflow leverages chat-based user interaction and a language model to deliver five relevant business name suggestions, with the option to iterate based on previous feedback.
The process is structured as an interactive chat experience, guiding the user step-by-step. Below is a summary of the workflow’s components and their roles:
| Step | Component | Purpose |
|---|---|---|
| 1 | Chat Opened Trigger | Detects when a user opens the chat to initiate the workflow. |
| 2 | Welcome Message | Greets the user and explains the instructions for using the Business Name Generator. |
| 3 | User Input | Collects information about the user’s business idea or requirements. |
| 4 | Chat History | Maintains the conversation history for context and iteration. |
| 5 | Prompt Template | Prepares a prompt for the language model, incorporating user input and chat history. |
| 6 | Generator (LLM) | Generates five business name ideas based on the provided prompt. |
| 7 | Chat Output | Displays the generated business names to the user. |
User Engagement
When the chat is opened, the system triggers a welcome message. This message introduces the Business Name Generator, clarifies its default behavior (generating five names), and invites the user to describe their business.
Collecting Business Details
The user is prompted to provide details about their business, such as its industry, values, target audience, or any preferences they may have regarding the business name.
Maintaining Conversation Context
The workflow keeps a record of the chat history. This allows for context-aware interactions, enabling the system to refine or iterate on name suggestions if the user requests changes or provides additional feedback.
Dynamic Prompt Construction
The workflow uses a prompt template that incorporates both the user’s current input and the chat history. This ensures that the language model receives all relevant information and can generate better-targeted name suggestions.
Automated Name Generation
The constructed prompt is sent to a text-generation engine (such as an LLM). The model outputs five creative business name ideas tailored to the user’s input.
Displaying Results
The generated business names are presented to the user in the chat. If the user is not satisfied, they can provide further feedback or ask for more suggestions, and the workflow can repeat the process, taking the updated chat history into account.
This workflow makes the process of creating business names interactive, efficient, and scalable, providing a valuable tool for anyone looking to automate the ideation of brand names.
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