Summarize a YouTuber's latest video into a Google Doc daily
A Make scenario runs at 9 AM, finds a YouTuber's newest video, has Hugging Face summarize it, and appends the summary to a Google Doc.
The poster tried Claude Computer Use to open Firefox, search Wikipedia, find all names on a page and save them to a text file.
The poster tried Claude Computer Use to open Firefox, search Wikipedia, find all names on a page and save them to a text file.
The poster used Claude Computer Use to control Firefox, go to Wikipedia, search for a topic, then identify all the names on the page and save them into a text file. From the comments, they ran Anthropic’s provided Docker image locally with their API key, and the task completed in about a minute with no manual editing described.
It seemed to work for this simple extraction task. The main downside was cost: the run used nearly 100,000 tokens and cost about $0.31, which the poster felt was too expensive for hobby use.
The clearest catch is cost from screenshots: this trivial, roughly one-minute run was already about 31 cents.
Open [browser] and go to the Wikipedia page for [topic]. Find every person's name mentioned on the page and save them, one per line with no duplicates, to a text file called [filename] in [folder]. Then tell me how many names you found and stop.
A Make scenario runs at 9 AM, finds a YouTuber's newest video, has Hugging Face summarize it, and appends the summary to a Google Doc.
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