How to Build an AI Spam Detector

Project Access Link

https://editor.momen.app/tool/9G6nZlvlrrq/WEB?code=S6A5HygGoBLm3 

Introduction

• Goal: Create an automated moderation system that identifies spam comments (gibberish, repetitive text, or low-quality content) using AI.
• Applicable Scenario: Comment sections, forums, or any user-generated content platform where manual moderation is inefficient.
• Core Logic: A user submits text via a UI input -> An asynchronous Actionflow triggers an AI Agent -> The AI returns structured data -> The result is saved to the Database.

Steps

Data Storage

First, we need a table to store the submitted comments and the AI’s moderation results.

• Data Model: Go to the Data tab and create a table named comment.

AI Agent Configuration

The AI Agent acts as the “brain” that analyzes the text based on your specific criteria.

1. Create Agent: In the AI tab, add a new agent named Agent_spam_detector.
2. Inputs: Add a Text input variable named content.
3. Prompt Template:
   • Role: Anti-Spam Expert
   • Goals: Define your moderation criteria (e.g., Gibberish, Spamming, Low Quality).
   • Content Reference: Use the variable \{{Input/content}} to pass the user’s input to the model.
4. Output Settings: Switch to Structured output to ensure the AI returns data that the database can understand.
   • is_spam (Boolean): Description: true: Spam content; false: Normal content.
   • reason (String): Description: Specific violation reason (only required if is_spam is true).

Actionflow Construction

1. Create Actionflow: Go to the Actionflow tab and create one named AI Spam Detector.
2. Input: Define a text input named content.
3. Execution Mode: Set the mode to Async.
4. Logic Nodes:
   • AI Node: Select “Start conversation” and choose your Agent_spam_detector. Map the content input to the agent’s input.
   • Database Node: Select “Insert data” for the comment table.
     • content: Map from Actionflow data -> input-data -> content.
     • is_spam: Map from Actionflow data -> AI node -> data -> is_spam.
     • reason: Map from Actionflow data -> AI node -> data -> reason.

UI Construction & Interaction

1. Components: Drag a Text Input and a Button onto the canvas.
2. Interaction:
   • Select the Button.
   • In the Action panel (Right Sidebar), add an On click event.
   • Select the AI Spam Detector Actionflow.
   • Parameter Binding: Bind the content parameter of the Actionflow to the value of the Text Input component.

Verification

1. Preview: Click the Preview button in the top right.
2. Test Case: Enter a gibberish string like asdfgavcugsu and click the button.
3. Check Database: Return to the Data Source -> Database view. You should see a new record where is_spam is true and the reason explains it is “Gibberish.”