Back to feed

EdSurge Commentary Profiles AI-Built Tool for Cheat-Resistant Assignments

EdSurge1 min read

What happened

In an EdSurge educator commentary published Aug. 3, 2026, teacher Michael Hernandez said he built the Cheat Vulnerability Index, a free web app that lets teachers upload an assignment and receive a custom report on strengths, weaknesses and suggestions related to cheating vulnerability. He said he created it with “vibe coding,” using natural language in an AI model to generate code, and trained it on concepts from his book, course, workshops and articles.

Why it matters

For educators and L&D designers, the article frames AI-related integrity as an assessment-design issue, not only a detection problem. Hernandez argues that tests, worksheets and essays are vulnerable by design, and that more resilient tasks emphasize originality, personal connection and purpose, including artifacts for audiences beyond the classroom.

What to do next

Review high-stakes assignments for whether learners are expected to produce identical answers, whether the task connects to their context, and whether work has an audience or use. Treat the index as one author’s diagnostic, not validated research in the evidence, and pair any redesign with local integrity policies and instructor judgment.

About this briefing

Reviewed by TutorFlow Editorial. We link the primary source, preserve its publication date, and distinguish reported claims from TutorFlow analysis. Our commentary focuses on practical decisions for educators and training teams.

Discussion (0)

0/1000
Loading discussion

Build with what you learned

Turn a useful idea into teaching content.

Use TutorFlow to build courses, videos, slides, tests, and interactive activities from your own materials.

Start building

Continue reading