Business Email or Free Email Checker

This workflow determines if an email address is from a generic free email provider or from a custom business domain. It’s useful for lead qualification and identifying business-related contacts for sales and marketing teams.

Flows

How the AI Flow works

Start Chat Session.: Triggers the workflow when a chat is opened and displays a welcome message.
Collect Email Input.: Prompts the user to enter an email address for analysis.
Format Email Analysis Request.: Prepares the input using a prompt template to instruct the AI to determine the type of email domain.
Analyze Email Type with AI.: Uses an AI model to assess whether the email is from a generic provider or a custom domain.
Display Result.: Shows the outcome to the user, indicating if the email is business-related or generic.

Prompts used in this flow

Prompt

Create a prompt template with dynamic variables ({input}, {human_input}, {context}, {chat_history}, {system_message}).

"Analyze the following email address. If it belongs to a generic email provider (e.g., Gmail, Yahoo, Hotmail, Outlook, etc.), return FALSE. If it is a custom domain associated with a company or organization, return TRUE.

---
EXAMPLE:

Email: [Insert Email Address Here]

Output only TRUE or FALSE."
---

---INPUT START---
{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

Message Widget

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.

See Message 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

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

Overview

The “Recognize a Company Address” workflow is designed to evaluate email addresses and determine whether they belong to generic/free email providers (such as Gmail, Yahoo, Outlook, etc.) or to a custom (usually business or organizational) domain. This is an important task for lead qualification, business targeting, and filtering potential customers or contacts based on their email type.

How the Workflow Operates

Welcome and User Guidance:
When the user opens the chat, the workflow automatically triggers a welcome message. This message introduces the tool and explains its function: distinguishing between generic email providers and custom company domains.
The user is prompted to input an email address for analysis.
User Input:
The user enters an email address into the chat interface.
Prompt Preparation:
The workflow takes the user’s input and inserts it into a dynamic prompt template. This template instructs the underlying AI model to analyze the provided email address and respond with:
- TRUE if the email uses a custom/company domain (e.g., @company.com)
- FALSE if the email uses a generic/free provider (e.g., @gmail.com, @yahoo.com)
The prompt is very specific, ensuring the AI returns only one of the two possible outputs.
AI-Powered Evaluation:
The composed prompt with the user’s email is sent to a Large Language Model (LLM) generator. The LLM processes the request based on the prompt’s instructions.
Result Display:
The AI’s output (TRUE or FALSE) is displayed in the chat, providing immediate feedback to the user regarding the type of email address provided.

Workflow Structure

Step	Component	Function
1	ChatOpenedTrigger	Detects when a user opens the chat and initiates the workflow.
2	MessageWidget	Displays a welcome/instructional message to the user.
3	ChatInput	Receives the email address input from the user.
4	PromptTemplate	Constructs a clear and concise prompt for the AI, embedding the user’s email address.
5	Generator (LLM)	Processes the prompt and determines if the email is generic or a custom domain.
6	ChatOutput	Shows the LLM’s response (`TRUE`/`FALSE`) directly in the chat interface for the user.

Why This Workflow Is Useful

Lead Qualification at Scale:
Quickly distinguish between personal and business/professional emails for sales, marketing, or customer onboarding, enabling automated lead scoring and filtering.
Targeted Outreach and Segmentation:
Helps segment users or leads based on whether their email is associated with a company, which is useful for B2B campaigns or access controls.
Automation & Consistency:
Eliminates manual checking, reducing human error and saving time, especially when processing large lists of email addresses.
Immediate Feedback:
Provides users or team members with instant results, making it suitable for interactive workflows or self-service tools.

Example Use Cases

Sales Teams: Automate the identification of high-value leads by filtering out generic email addresses.
Marketing Teams: Tailor campaigns to only business or organization-affiliated contacts.
Customer Success: Quickly verify if sign-ups come from company domains for access to special features or account types.

Summary

This workflow combines user interaction, prompt engineering, and AI-powered evaluation to efficiently and reliably determine the nature of an email address. It is especially valuable for organizations seeking to automate and scale their lead qualification and user segmentation processes.

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