Author Compares Human And AI Design Docs

An author ran a recent informal survey comparing three versions of a software design doc—Claude Opus 4.6, the author's human draft, and Codex/GPT-5.4—and asked readers to identify which was AI. Just under 50% identified the author's version as human, while one quarter labeled it "Definitely AI." The study finds AI verbosity, lack of specific tradeoffs, and implications for clearer documentation.
Key Points
- 1Found that readers misidentified the human doc; just under 50% labeled the author as human.
- 2Identified AI 'bloat' and verbosity as main cues revealing machine-generated text to readers.
- 3Suggests practitioners add personal context, specific tradeoffs, and concrete threats to avoid AI-like outputs.
Scoring Rationale
Practical, original user-study on AI versus human writing but limited by an informal single-author sample and anecdotal methods.
Sources
Public references used for this report.
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