Innovation Is Legwork: A Controlled Experiment on Outsourcing Ideation to AI

创新是体力活：一场把"出点子"交给 AI 的对照实验

The author turned SIT and Think Bigger methodologies into an AI-executable skill, then ran Claude Opus with and without it on the same prompt. The bare model produced a solid trend report; the skill-forced model generated 'Trust Ladder'—a reputation interface for agents combining eBay ratings, SAE autonomy levels, and bank risk-tiered review. Both agents independently flagged 'trust' as an unmapped UI gap. The skill, experiment logs, and evaluation are open-sourced as plain Markdown. The post notes the evaluation is self-assessed, non-blinded, with a sample size of one pair.

Why it matters: An original long-read with an experiment, a method, and a conclusion. The author doesn't stop at 'can AI innovate'—they codify two innovation methods into a playbook and run a controlled comparison. All three HKR axes hit, but the experiment uses only one question and one mode...