Generate research-backed blog articles from news with OpenAI, Tavily and Google Docs

How it works

This workflow automatically generates full-length, research-backed blog articles from online news sources. It collects headlines from selected URLs, extracts topic ideas, creates an outline, writes well-structured sections with citations, compiles the article, and finally exports the completed piece to Google Docs. The workflow supports SEO outputs such as title, slug, and meta description, making the article ready for publication.

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Key Features

Automatically discovers article topics from live news sources Uses AI + Tavily research to create credible, well-structured content Generates full article sections with inline citations and internal links Merges sections into a refined 1000–1500 word article Creates SEO metadata — title, slug, and meta description Exports the final article to Google Docs automatically Supports multiple topics via batch looping

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Step-by-Step Workflow

1️⃣ News Extraction