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.
A reviewer tested Operator on analyzing web-design posts, summarizing AI news, listing website builders with prices and screenshotting sites into a Google Doc, finding login and CAPTCHA handoffs frustrating.
A reviewer tested Operator on analyzing web-design posts, summarizing AI news, listing website builders with prices and screenshotting sites into a Google Doc, finding login and CAPTCHA handoffs frustrating.
The reviewer paid $200 for ChatGPT Operator and spent a week giving it plain-language browser tasks. These included analyzing trending web-design tweets, summarizing AI news, listing AI website builders with pricing, summarizing a set of linked articles, and screenshotting sites into a shared Google Doc. Operator browsed on its own. The reviewer re-prompted it, and had to take over at logins and CAPTCHAs.
Results were weak. Operator returned duplicate, stale tweets, summarized one Axios article, and copied the first ten items from a single Bing listicle. It looped between tabs on multi-article summaries and could not take screenshots at all.
Operator is built to hand control back at logins, payments and CAPTCHAs, so you must be present for those steps. Expect to supervise even simple multi-step jobs.
Research [topic, e.g. website builders] by visiting the main sites, and list each with its starting price, key features and a screenshot of the homepage. Put everything into a new Google Doc called [doc name]. Hand control to me when you hit a login or CAPTCHA, and finish when the doc is complete and you've given me the link.
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.
An n8n workflow scrapes Reddit posts and comments via Bright Data, extracts concerns and themes with Gemini, and writes reports to Notion.
A user left a Gemini agent running overnight to analyze 170k LLM logs with the llm CLI and a free model, and it finished the job despite limits.