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The original was posted on /r/opensource by /u/derezzedmind on 2025-12-16 17:41:58+00:00.
Hi, r/OpenSource.
I’m an English teacher, and like a lot of teachers right now, I’m exhausted by how much of assessment has turned into policing student work.
My colleagues and I are expected to use tools like GPTZero, TurnItIn, and Revision History to bust students. At best, some of these tools rely on a mix of linguistic analysis and typing-behaviour analysis to flag AI-generated content.
The linguistic side is mostly moot: it disproportionately flags immigrant writing and can be bypassed with decent prompting. So instead of being given time or resources to adapt how we assess writing, we end up combing through revision histories looking for “suspicious” behaviour.
So I built Watch Me Type, an open-source macOS app that reproduces realistic human typing specifically to expose how fragile AI-detection based on the writing process actually is.
The repo includes the app, source code, instructions, and my rationale for building it.
I’m looking for feedback to make this better software. If this project does anything useful, it’s showing that the current band-aid solutions aren’t working, and that institutions need to give teachers time and space to rethink assessment in the age of AI.
I’m happy to explain design decisions or take criticism.
Thank you for your time.