SHOWCASE: SMART COMMENT MODERATION WITH AI

Continuing our journey into intelligent features with 4D AIKit, let’s explore a highly relevant use case for any modern application: automated comment moderation. In a world where online conversations can happen in real-time, keeping your platform safe, respectful, and compliant is no longer optional, it’s essential. With AIKit, you can build powerful moderation tools directly into your application logic, without relying on external moderation services or human reviewers.

Example: Moderating User Comments with AI

This showcase demonstrates how to automatically review and flag user-generated content such as forum comments. The system detects inappropriate or harmful content and ensures only clean, compliant comments are stored and displayed.

How It Works:

  • A user submits a comment.
  • The content is sent to the OpenAI moderation API via 4D AIKit.
  • If flagged as inappropriate, the comment is automatically replaced with a moderation notice.
  • If validated, it’s stored as-is.
  • Each comment is linked to a dynamically created or retrieved user.

Code Example

exposed Function processComment($forumComment : Text; $apiKey: Text) : cs.CommentsSelection
var $client := cs.AIKit.OpenAI.new("YourAPIKey")
var $moderation := $client.moderations.create($forumComment).moderation
var $result : Boolean := $moderation.results[0].flagged

DEMO_AIKIT_MODERATION

Benefits: Real-Time Content Filtering

This AI-powered feature is ideal for:

  • Community forums and message boards
  • E-learning platforms with open comments
  • Internal enterprise discussion tools
  • Any app where user-generated content is submitted

 

With moderation handled automatically, you reduce the risk of publishing harmful or inappropriate content — while maintaining a positive user experience.

Why AIKit for Moderation?

Using AIKit allows you to:

  • Tap into OpenAI’s best-in-class moderation models
  • Maintain full control over how you store and present moderated content
  • Easily integrate with your existing data models and UI

You get scalability, consistency, and speed, all within your 4D application and this is just the beginning.

Check out the full documentation to explore everything the 4D AIKit component has to offer!

More AI-driven demos and business-focused use cases are coming soon to help you take your applications even further. We’ll continue sharing ideas, examples, and tutorials to support your innovation journey.

Got feedback or a great use case? Share it with us — we’d love to feature your project in a future post!

David Azancot
- 4D for iOS Product Owner – David Azancot joined the 4D Product team as a Product Owner in 2017. He is responsible for writing user stories and translating them into functional specifications. His role also includes ensuring that feature implementations meet customer needs. David holds an MBA in Marketing, Internet, and Mobility from the Institut Léonard de Vinci. He began his career in 2011 at a mobile startup that was later acquired by Madvertise (a mobile marketing group). Passionate about mobile interfaces, he was a natural choice to develop interactive mobile ad formats for the group in 2015. In parallel, David has been developing his own iOS and Android applications since 2012.