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.
An agent extracted key insights from 20 articles, found common themes and produced a cited summary; the write-up estimates 18 minutes versus hours by hand.
An agent extracted key insights from 20 articles, found common themes and produced a cited summary; the write-up estimates 18 minutes versus hours by hand.
For an article on AI automation trends, a user gave Claude in Chrome a set of 20 articles. The prompt asked it to pull key insights from each, find common themes, and build an organized summary document with citations. The guide shows only the prompt and the result, not the individual steps the agent took.
The guide puts manual effort at an estimated 4-5 hours against 18 minutes for Claude. The summaries were accurate enough to show which articles deserved a full read, but the guide says this speeds up research and doesn't replace reading.
The 4-5 hour manual figure is an estimate, not a measurement. The guide also says long sessions and long lists can stop mid-task, so add checkpoints.
Read these [number] articles: [URLs or file paths]. Extract the key insights from each, identify the themes they share and where they disagree, and write a summary document in [folder] with a citation to the source for every claim. Aim for about [length] and stop when every article is cited at least once. Flag any article you couldn't open instead of guessing.
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.
Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.