A tweet-authorship test uses 10,000 tweets, 40-question quizzes, and blind validation
beechinour · x · 2026-07-25
The author says they used to think AI would struggle to write convincing tweets, but a new setup might finally crack it.
They downloaded 10,000+ tweets from selected accounts and are running a validation workflow with 40-question quizzes. The screenshot shows the process: ingest and clean archives, run analysis passes on voice/archetypes/autopsy/topics/arbitrage, write SKILL.md, examples.md, and analysis-notes.md for each handle, then do a blind validation loop with the user. The practical goal is to keep pushing until they can tell real and fake tweets apart with near-perfect accuracy.
Related event: Developer Tests AI-Generated Tweets with Claude in Blind Trials(2 posts)→
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