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:
2026年，高等教育正经历深刻的“ROI（投资回报率）”审查。面对高昂的学费和瞬息万变的职场，传统的长学制、重理论模式正向灵活、就业导向的模式转型 [50, 51]。
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Дания захотела отказать в убежище украинцам призывного возраста09:44，更多细节参见雷电模拟器官方版本下载