Understanding Your Results

Don't panic. Here is exactly what the numbers mean and how our algorithm calculates probability.

Unlike plagiarism checkers that look for exact matches, AI detectors rely on probability. A score of 80% does not necessarily mean that 80% of your text is fake; it means the algorithm is 80% confident that the writing style matches patterns found in Large Language Models (LLMs).

The Score Spectrum

We categorize results into three distinct zones. Identify where your text falls:

0% - 20% Likely Human

Excellent. The text exhibits high variance (burstiness) and unique vocabulary. It is safe to submit.

21% - 60% Mixed / Uncertain

The detector sees AI fingerprints. This often happens with heavily edited text or using tools like Grammarly.

61% - 100% Likely AI

High Risk. The syntax is too predictable. We recommend rewriting sections with more personal anecdotes.

Why is my text flagged?

Our detection engine, similar to the official Winston AI, analyzes two core metrics:

📉
Low Perplexity (Predictability)

AI models choose the most "statistically probable" next word. If your writing is too simple or uses many clichés (e.g., "In this day and age"), the perplexity drops, raising the AI score.

🤖
Low Burstiness (Monotony)

Robots write sentences of equal length and structure. Humans are chaotic—we mix short outbursts with long explanations. If your sentence rhythm is flat, you get flagged.

⚠️ Important Note on False Positives:
Certain types of content naturally trigger AI detectors even if written by humans:
  • Technical Manuals & Legal Documents (Requires strict structure).
  • Lists and Bullet Points.
  • Non-native English writing (often uses simpler vocabulary).
  • Content heavily edited by Grammarly or Quillbot.

What to do next?

If your score is in the Red Zone, do not just use a paraphrasing tool (detectors catch those too). Instead:

  1. Break up long paragraphs.
  2. Inject a personal opinion or a specific real-world example.