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 commenter built a custom browser agent to research and download scientific papers, and also uses browser agents for controlled data entry.
A commenter built a custom browser agent to research and download scientific papers, and also uses browser agents for controlled data entry.
A commenter said they built a custom browser agent and use it for a narrow set of tasks, especially researching and downloading scientific papers. They also use it to download CSV bank account data and enter company bank transactions, with the workflow handled by a mix of fixed Python-script steps and AI decisions.
The source only states that they use it for those tasks and that the agent is useful within a tightly scoped range. It gives no metrics, success rates, or examples of failures.
The main catch is that they did not run it fully autonomously; they combined deterministic Python steps with AI decision-making for control.
Research [topic] by searching [Google Scholar / arXiv / PubMed] for the [10] most relevant recent papers. Download each open-access PDF into a folder named [folder], and create a list with title, authors, year, and a two-line summary of each. Stop when you have [10] papers, and tell me which ones were paywalled so I can decide how to get them.
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.
An agent runs overnight, collects the author's AI newsletter subscriptions and produces a daily podcast to listen to on walks.