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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:
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以红狗推出的“宠物年夜饭”为例，虾油、营养膏等产品在“人宠同源”的理念下被赋予了春节语境，年夜饭不只是给宠物吃的，更是一种情绪象征：即便主人不在身边，宠物也一起“过了年”。同时，还联合10地10家指定门店、发起拍照打卡、领取宠物新春年夜饭的活动，盘活线下门店、增强品牌效应。
Despite the physical and emotional demands of the job, McKenzie says nothing beats the incredible experiences he's had - as well as the satisfaction of contributing to environmental research.