1) Building a Strict Arabic Evaluation Framework
The GPT was trained on:
- Advanced Arabic linguistic rules
- Common content writing mistakes
- SEO writing standards
- Readability and structure principles
- Copywriting evaluation criteria
The framework focused heavily on issues commonly found in Arabic digital content.
2) AI Cliché Detection System
One of the core differentiators was the integration of AI cliché detection.
The system was trained to identify:
- repetitive AI-generated phrasing
- weak generic introductions
- predictable structural patterns
- overused marketing expressions
This allowed the tool to flag content that “sounds AI-generated” even when technically correct.
3) Context-Based Evaluation Flow
The tool was designed as an interactive evaluation assistant rather than a one-click corrector.
Users are first asked:
- What type of content are you writing?
- Article
- Social media post
- Other formats
If the content is SEO-focused, the system also requests:
- target keywords
- search intent context
This allows the evaluation process to adapt based on content goals rather than applying generic corrections.
4) Scoring & Performance Assessment
At the end of each evaluation, the system generates:
- detailed feedback
- strengths and weaknesses
- improvement recommendations
- and a final score out of 100
The scoring model is based on:
- language quality
- clarity
- SEO optimisation
- structure
- readability
- AI cliché detection
- and strategic writing standards
