AI Writing Detection
Revdoku’s AI Writing Detection checklist analyzes documents for patterns commonly associated with AI-generated text. It checks for generic phrasing, mechanical transitions, lack of concrete examples, and structural consistency.
The Document
A blog post titled “The Benefits of Remote Work in 2026” attributed to Sarah Chen, Marketing Manager at Bridgewell Solutions. Three paragraphs covering productivity, cost savings, and talent acquisition.
What Revdoku Found
Overall compliance score: 25% — 3 of 4 rules failed.
| Rule | Status | Key Finding |
|---|---|---|
| Generic phrasing | FAIL | 3 flagged phrases: "rapidly evolving landscape," "transformative force," "new paradigm" |
| Mechanical transitions | FAIL | 3 instances: "Furthermore," "Additionally," "In conclusion" |
| Lack of concrete examples | FAIL | "studies have shown," "research indicates" — zero named sources, companies, or specific data |
| Consistent structure | PASS | Paragraphs are structurally consistent throughout |
Compliance Report
Full compliance report generated by Revdoku showing pass/fail status, issue locations, and overall score.
Issues Breakdown
Generic Phrasing (FAIL)
The document uses 3 stock phrases that appear frequently in AI-generated content. “Rapidly evolving landscape” opens the post — a phrase that adds no specific meaning. “Transformative force” and “new paradigm” describe remote work without saying anything concrete about it. These phrases are filler that could apply to any topic.
Mechanical Transitions (FAIL)
Three transition phrases flagged. “Furthermore,” “Additionally,” and “In conclusion” are formulaic connectors that appear in sequence across the three paragraphs. Human writing typically uses fewer explicit transitions and relies more on logical flow between ideas.
Lack of Concrete Examples (FAIL)
The post references “studies” and “research” twice without naming a single source. No specific companies, statistics with citations, or real-world examples are provided. Every claim is vague and unverifiable.