This n8n workflow automates the process of fetching, extracting, and summarizing the latest essays by Paul Graham from his website. When triggered manually, it begins by retrieving the list of essay links, then loads each essay’s content. The workflow extracts the essay titles and limits the selection to the first three. Subsequently, it fetches the full texts of these essays, extracts their titles, and processes the content through a GPT-based summarization chain. The result is a concise summary of each essay, making it easier to grasp key insights. This workflow is ideal for researchers, students, or enthusiasts wanting to stay updated with Graham’s ideas without reading full texts, or for generating quick insights for content curation and sharing.
Automated Summarization of Paul Graham’s Essays
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, html, httpRequest, limit, manualTrigger, merge, set, splitOut, stickyNote |
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