I completely ignored Anthropic’s advice and wrote a more elaborate test prompt based on a use case I’m familiar with and therefore can audit the agent’s code quality. In 2021, I wrote a script to scrape YouTube video metadata from videos on a given channel using YouTube’s Data API, but the API is poorly and counterintuitively documented and my Python scripts aren’t great. I subscribe to the SiIvagunner YouTube account which, as a part of the channel’s gimmick (musical swaps with different melodies than the ones expected), posts hundreds of videos per month with nondescript thumbnails and titles, making it nonobvious which videos are the best other than the view counts. The video metadata could be used to surface good videos I missed, so I had a fun idea to test Opus 4.5:
Дания захотела отказать в убежище украинцам призывного возраста09:44
。夫子对此有专业解读
Вашингтон Кэпиталз
这个恶性循环的逻辑很简单：客流下滑、增长疲态显现→品牌选择区域加密+付费投流→原本原价消费的老客，也转向团购、折扣券消费→门店毛利持续压缩，现金流枯竭→最终只能闭店。
Publication date: 28 February 2026