130-Text Validation: Nearly 100% Human Text Detection by DeepSense™
Across two independent benchmark suites totaling 130 texts, DeepSense™ correctly identified virtually all human-written content — with only a single marginal case across the entire test set. Every other flagged result represented genuine AI patterns.
When a detection tool falsely accuses a human writer, the consequences are real. In our 130-text benchmark spanning student essays, business documents, and academic papers, DeepSense™ showed only one marginal deviation — while every other human text was correctly identified. API access available for institutions.
Two Independent Test Suites
- School Writing (30 texts) — Authentic student work alongside AI-generated papers. Perfect human text identification.
- General Writing (100 texts) — Business, academic, and creative prose. Only one marginal case across the entire set.
Both datasets are publicly available. Download them and run the same texts through any detector to verify.
Built for Classrooms
DeepSense™ cross-references multiple independent signals. When evidence is genuinely mixed, it reports "Mixed Signals" instead of guessing. This approach delivered near-perfect human text accuracy in benchmark testing — the level of reliability teachers and schools need.
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