Core approach
Perplexity and burstiness analysis to classify text as human or AI-generated
Artifact-specific follow-up questions that show whether the student can explain the submitted work
What it measures
Statistical likelihood that text was produced by an AI model
Whether the student can explain, defend, and extend the ideas in their submission
False positives
Stanford HAI research documented significant bias against non-native English writers in AI detection
Designed to evaluate demonstrated understanding, not writing patterns
Student experience
Students flagged by a score they cannot see, understand, or meaningfully contest
Students complete a brief follow-up that reinforces learning and demonstrates understanding
Output you get
A percentage score and sentence-level highlights — no insight into student understanding
An evidence report showing what the student can explain and what needs instructor review
Bypass resistance
Can be defeated with paraphrasing tools and rewriting techniques — an ongoing arms race
Using AI to draft work does not remove the need to explain the material under follow-up
Cost model
Free tier with limits; paid plans from $14.99 to $23.99/month per user
Transparent per-educator pricing with no artificial limits on core verification features