What specific indicators does Puddin AI use for detection?

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Puddin AI Utilizes Approximately 200 Indicators to Assess Writing Humanness

Puddin AI employs around 200 distinct indicators to evaluate the likelihood of a piece of writing originating from a human author. These indicators encompass a range of factors, including common human spelling errors, the presence of pauses during writing sessions, and estimations of the time typically required to complete such a work. The system also meticulously records the writing process itself, capturing details such as when a user commences writing, their individual writing speed, and the precise chronological order of any revisions made.
Analysis of Writing Process Metrics

The system's core functionality involves a detailed examination of the writing workflow. This includes tracking the initiation of the writing session, the pace at which the text is produced, and the sequence of edits. By capturing these process-related elements, Puddin AI aims to differentiate between human-driven creation and the rapid output characteristic of artificial intelligence.
Inclusion of Common Human Errors and Pauses

A significant aspect of Puddin AI's detection methodology is its incorporation of common human mistakes. This includes analysing typical spelling errors that a human might make. Furthermore, the system considers the natural pauses that often occur during a human's writing process, as opposed to the continuous generation that AI might produce.
Estimation of Production Time

Puddin AI also factors in the estimated duration typically needed for a human to produce a given piece of writing. When a user copies and pastes content generated by AI, the writing process is significantly abbreviated. This discrepancy in production time serves as a key differentiator, allowing the system to flag content that is unlikely to have been human-authored.

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What specific indicators does Puddin AI use for detection?

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