AI Business Idea Generator

Generate innovative business ideas tailored to user input or selected industries using AI. This interactive flow provides suggestions based on user preferences and chat history, helping entrepreneurs and teams brainstorm new business concepts quickly.

Flows

How the AI Flow works

User Input Collection.: Collects user input via chat or through quick-select industry buttons.
Chat History Retrieval.: Retrieves previous chat interactions to provide context for more relevant suggestions.
Dynamic Prompt Creation.: Builds a prompt using user input and chat history for the AI model.
AI Business Idea Generation.: Uses an AI language model to generate unique business ideas based on the constructed prompt.
Results Display.: Displays the generated business idea to the user in a chat format.

Prompts used in this flow

Prompt

Creates a prompt template that instructs the LLM to generate a business idea based on input and chat history, with guidance to avoid generic phrases and focus o...

Focus on detailed information. Don't use phrases like "In todays fast changing world...", "In today's complex...", "is a crucial step", "plays significant role", "fast-paced...", "pivotal role", "In the ever-evolving landscape of" or "In the realm of ...", always cut to the point without useless conclusions or intros.

Generate a business idea based on input and chat_history to remember past queries.

*** CHAT HISTORY ***
{chat_history}
***

INPUT: {input}

Components used in this flow

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.

Chat Opened Trigger

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.

See Chat Opened Trigger

Button Widget

The Button Widget component in FlowHunt transforms text or input into interactive, clickable buttons within your workflow. Perfect for creating dynamic user interfaces, collecting user choices, and improving engagement in AI-driven chatbots or automated processes.

See Button Widget

ChatInput

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.

See ChatInput

Chat History Component

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.

See Chat History Component

Prompt Component in FlowHunt

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.

See Prompt Component in FlowHunt

Generator

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.

See Generator

Chat Output

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.

See Chat Output

Flow description

Purpose and benefits

This workflow is designed to automate the process of generating tailored business ideas based on user input. It combines interactive chat elements, memory of past conversations, prompt engineering, and language model generation to deliver creative suggestions efficiently.

Overview of the Workflow

When a user interacts with the system, they are greeted with a welcome message and given the option to choose from pre-defined prompts (such as “Food delivery industry” or “AI automation”) or enter their own input. The workflow then processes this input, incorporates previous chat history for context, and generates a focused, detailed business idea using a language model. The result is displayed to the user in the chat interface.

Detailed Workflow Structure

Below is a step-by-step breakdown of the workflow’s main components and their functions:

Step	Node	Purpose
1	ChatOpenedTrigger	Detects when a user opens the chat to initiate the workflow.
2	ButtonWidget (2 instances)	Presents clickable options for idea generation (e.g., “Food delivery industry”, “AI automation”).
3	ChatOutput (2 instances)	Displays the user’s choice in the chat interface.
4	ChatInput	Captures custom user input from the chat playground.
5	ChatHistory	Retrieves the memory of previous chat messages for context.
6	PromptTemplate	Crafts a dynamic, focused prompt for the language model, incorporating user input and history.
7	Generator	Uses a language model to generate a detailed business idea based on the prompt.
8	ChatOutput	Presents the generated business idea to the user in the chat.

How the Workflow Operates

User Interaction: The chat opens and the user is greeted. They can either click on a suggested industry (e.g., “Food delivery industry” or “AI automation”) or enter their own prompt.
Input Handling: The system captures their selection or input, and displays it in the chat for clarity.
Context Awareness: The workflow accesses previous chat history, ensuring that suggestions are tailored and avoid repetition, leveraging what has already been discussed.
Prompt Engineering: A carefully designed prompt ensures the generated ideas are direct, actionable, and avoid generic language. The prompt template specifically instructs the model to skip empty introductions or conclusions.
Idea Generation: The processed prompt, along with chat history, is sent to a language model generator, which returns a relevant business idea.
Output Delivery: The final business idea is displayed back to the user in the chat interface.

Key Features & Benefits

Scalability: By automating idea generation, the workflow can handle many users and diverse requests simultaneously.
Customization: Users can input any industry or preference, leading to highly tailored outputs.
Memory Utilization: By retaining chat history, the system provides contextually relevant ideas and avoids redundancy.
Efficiency: Predefined buttons help users get started quickly, while custom input allows for deeper exploration.
Quality Control: The prompt template enforces clear, actionable, and non-generic responses from the language model.

Why This Workflow Is Useful

This workflow is ideal for entrepreneurs, innovators, or teams needing fast, creative, and relevant business ideas. It reduces brainstorming time, ensures suggestions are fresh and avoid repetition, and provides a scalable, automated solution for idea generation sessions. By leveraging automation and AI, organizations can quickly explore new opportunities and accelerate their innovation process.

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