AI Text Tester

Purpose: Identifies AI involvement in written text and provides objective metrics to guide editorial decisions. Audience: editors, educators, researchers, content strategists who need rapid, repeatable AI-authorship assessment.
Concept: The tool ingests a text sample, applies stylometric cues, perplexity-like estimates, and model-agnostic indicators to produce a probability score and flagged passages. Outputs can be used to audit content chains, verify authorship claims, or inform review workflows.
Value: Saves time by offering a structured, data-driven view of AI presence, reduces risk of misattributing content origin, and enables policy-compliant publishing. Core features include multi-language support, configurable sensitivity, and a transparent scoring model. Use cases include grading assignments, reviewing submitted articles, and screening templates for AI involvement.
Differentiators: combines stylometry with simplified model-agnostic checks and a clear, exportable report, designed for non-technical editors while retaining technical rigor.