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TutorialHow to Build an AI Copy Reviewer?

How to Build an AI Copy Reviewer

https://editor.momen.app/tool/k5PBKyGyrrO/WEB?code=3lq4QaZ8e47IU 

Introduction

  • Goal: Automatically analyze user-submitted marketing copy to ensure it aligns with brand guidelines (tone, punctuation, and language).
  • Applicable Scenario: Marketing workflows, brand compliance auditing, and content generation pipelines.
  • 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 to create a table to store the history of submitted copy and the AI’s evaluation.

  • Data Model: Navigate to Data and create a table named copy_review_log.
Field NameTypeDescription
contentTextStores the original user input.
is_passedBooleantrue: Compliant; false: Violation.
feedbackTextAI-generated critique and the revised copy.

AI Agent Configuration

The AI Agent acts as the “Brand Expert.” We must define its identity and ensure it returns data in a format the system can understand.

  1. Create Agent: Go to the AI tab and add a new agent named Agent_copy_review.
  2. Define Inputs: Add a Text input named content.
  3. Prompt Template:
    • Role: Brand Copy Review Expert.
    • Goals: Analyze the \{{Input/content}} and determine if it adheres to brand guidelines.
    • Audit Standards: Include specific constraints like “No Slang,” “No excessive exclamation marks,” and “Rational tone.”
  4. Structured Output: Set the output type to Structured.
    • is_passed (Boolean): Does it meet the standards?
    • feedback (String): If failed, explain the violation and provide a [Revised Draft]. If passed, return “Copy is compliant.”

Using Structured Output allows the backend logic to directly map the AI’s response to database fields without manual parsing.

Actionflow Construction

  1. Trigger & Mode: Create an Actionflow named AI Copy Review. Set the Execution Mode to Async (Asynchronous) in the right panel to handle the AI processing time smoothly.
  2. Input Node: Define a parameter content (Text).
  3. AI node: Add a Start conversation node. Select Agent_copy_review and bind the content parameter to the agent’s input.
  4. save record: Add a Database -> Insert data node.
    • Table: copy_review_log.
    • Mapping:
      • content: Map from Actionflow data -> input-data -> content
      • is_passed: Map from Actionflow data -> AI node -> data -> is_passed
      • feedback: Map from Actionflow data -> AI node -> data -> feedback

UI Construction & Interaction

  1. Layout: In the Pages tab, drag a Text Input and a Button onto the canvas.
  2. Interaction:
    • Select the Button.
    • Go to the Interaction panel -> On click.
    • Select Actionflow -> AI Copy Review.
    • Binding: Map the content parameter to the value of the Text Input component.

Verification

  1. Preview: Click the Preview button in the top bar.
  2. Test Case: Enter a non-compliant text, for example: “OMG!!! This product is literally the GOAT… you’re missing out big time!”
  3. Check Result: Click the button, then return to the Data -> Database view.
  4. Validation: You should see a new record where is_passed is false and the feedback contains a professional [Revised Draft].

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