How Article Generation Works

Skribt uses a multi-agent pipeline to generate high-quality articles. Rather than relying on a single AI pass, the system employs three specialized roles that work together iteratively:

1. Writer (first draft)

The Writer agent generates the initial article draft based on your outline, brief, and selected article length. It receives detailed instructions about:

• Target word count (Short: 600–800, Medium: 1,200–1,500, Long: 2,000–2,500)
• Primary keyword placement guidelines
• Tone and voice settings from your brief
• Source material for citations (if provided)
• Internal linking opportunities
• Your writing profile preferences

2. Reviewer (quality analysis)

The Reviewer agent analyzes the draft and outputs a structured list of issues (what needs attention, where it appears, and how to improve it) so the Editor can revise the draft systematically.

3. Editor (revision)

The Editor agent receives the draft plus the list of issues and produces an improved version. It addresses each flagged issue while preserving the article's structure and good content.

The loop

Steps 2–3 repeat up to 3 times until either:

• The Reviewer approves the article (returns zero issues), or
• Maximum iterations reached (article is marked as ready)

This iterative approach catches issues that emerge from fixes and ensures consistent quality improvement.