[FEATURE] AI Implementation #99
Description
Summary
AI-based content moderation and generation support for 4Byte.
The system will help review and improve articles, images, comments, entries, profile photos, and cover images automatically.
Motivation
As 4Byte grows, manually checking every content type becomes time-consuming and error-prone.
We need a smart assistant that can:
- Detect low-quality, spam, toxic, or unsafe content
- Help improve article quality and readability
- Automatically review user-generated images (profile & cover photos)
- Reduce moderation workload while keeping content standards high
- This also improves overall user experience and content consistency.
Proposed Solution
Integrate lightweight AI checks into the existing Laravel flow.
Possible approach:
- Use Laravel Observers to trigger AI checks on:
- Article creation/update
- Comment & entry submission
- Profile photo & cover image upload
- AI can be used to:
- Text content
- Detect spam, toxicity, hate, or NSFW content
- Give simple quality feedback (too short, meaningless, copy-paste vibes)
- Suggest small improvements for article content (optional)
- Images
- Check profile & cover images for NSFW, violence, or irrelevant content
- Detect obvious low-quality or empty images
Based on results:
- Text content
- Auto-approve
- Flag for manual review
- Soft-reject with a friendly message to the user
All checks should be async (queue jobs) so user experience stays fast.
Alternatives Considered
- Full manual moderation (doesn’t scale)
- Keyword-based filters (too limited and easy to bypass)
- Strict auto-blocking (bad UX, too aggressive)
AI-assisted moderation gives a better balance between control and flexibility.
Additional Context
- Laravel backend (Observers, Jobs, Queues fit perfectly)
- AI results don’t have to be perfect — they just assist moderation
- System should be configurable per content type
- Future-ready for:
- AI-assisted article summaries
- Comment auto-sorting (quality based)
- Fake/AI-generated spam detection