IT worker creates 'research-ledger' skill to prevent self-deception in AI-aided research

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An IT support worker developed a method called 'research-ledger' during evening research sessions using multiple AI models. The tool is designed to counter common pitfalls in AI-assisted research, such as mistaking AI consensus for evidence and dressing up metaphors as mechanisms. It enforces discipline through steps like idea screening, metaphor translation, prior art checks, and pre-registration of experiments. The method categorizes outcomes as 'dead,' 'landed,' or 'bridge' to maintain an objective record. It was created from the author's personal experience running dozens of small experiments.

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