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.
Claude Code browses a personal library with CLI tools and surfaces trails of related excerpts across books.
Claude Code browses a personal library with CLI tools and surfaces trails of related excerpts across books.
Pieter Maes pointed Claude Code at his personal library of non-fiction books. It automatically found thematic links across them and grouped them into named trails. Each trail has a short thesis, related concepts, and the books it draws on. The results are published as a browsable site with a books index.
The site shows dozens of trails, such as Useful Lies, Pacemaker Principle and Proxy Trap. Each one links five books that would not normally be read together. The page doesn't say how the trails were checked.
The page doesn't describe the tooling or its cost. The full method is in the author's linked explainer, so read that before copying the setup.
I have a folder of about [number] non-fiction books as [epub/pdf/txt] files at [folder path]. Index them so you can search across them, then find connections between books on the theme of [topic or question]. Give me 5 trails of related excerpts, each with the book title, the quote, and one sentence on how it links to the next, and stop once I have those 5 trails.
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.