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Article Saver with Summaries

Example prompt: "When I save an article to Pocket, read it, write a 3-sentence summary with key takeaways, and add it to my 'Reading Notes' Notion database."

How to automate article saving and summarising with GloriaMundo

The Problem

We all save articles with the best of intentions, but the "read later" list grows faster than we can get through it. Even when you do read something, the insight fades within days unless you take notes. Manually summarising each article — writing down what it said, why it matters, and what to remember — takes 10-15 minutes per piece. Most people skip this step entirely, which means their saved articles become a graveyard of forgotten links rather than a useful knowledge base.

How GloriaMundo Solves It

We build a workflow that triggers when you save a new article (via a manual paste or a webhook from your read-later service). A URL extract step fetches the full article text, stripping away ads and navigation clutter. An LLM step reads the content and generates a concise 3-sentence summary, a list of key takeaways, and suggested tags based on the topic. An integration step then creates a new entry in your Notion database with the article title, URL, summary, takeaways, tags, and the date saved. Glass Box preview shows you the summary and takeaways before anything is written, so you can tweak the output or add your own notes before saving.

Example Workflow Steps

  1. Trigger (manual or webhook): You paste an article URL, or a webhook fires when you save to your read-later service.
  2. Step 1 (url_extract): Fetch the full article text from the URL, stripping ads and navigation.
  3. Step 2 (LLM): Generate a 3-sentence summary, list of key takeaways, and suggested topic tags from the article content.
  4. Step 3 (integration): Create a new entry in the Notion "Reading Notes" database with the title, URL, summary, takeaways, tags, and date.

Integrations Used

  • Notion — knowledge base where article summaries and takeaways are stored in a searchable database

Who This Is For

Knowledge workers, researchers, and avid readers who save articles regularly but struggle to turn their reading into a searchable, useful reference. Particularly valuable for anyone building a personal knowledge base or second brain.

Time & Cost Saved

Manually reading and summarising an article takes roughly 10-15 minutes. If you save 5 articles per week, that is nearly an hour of summarisation work. This workflow reduces the effort to a quick review of the AI-generated summary — about 1-2 minutes per article. Over a month, that saves approximately 3-4 hours. The workflow uses URL extract, LLM, and integration steps, costing just a few credits per article.