Analysis updated 2026-05-18
Turn a loose blog post idea and search intent notes into a ready-to-use outline.
Generate a Google Doc with title ideas, sections, and link ideas for an article.
Learn how a simple n8n workflow can wire local AI into a real writing task.
| michaelstables/gp-wf-002-search-intent-blog-outline-builder | 00kaku/gallery-slider-block | 04amanrajj/netwatch | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | — | JavaScript | Rust |
| Last pushed | — | 2021-05-19 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | writer | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires n8n, a locally running Ollama model, and a connected Google Docs credential.
This is a small automation workflow, built for the n8n automation tool, that helps turn a loose blog post idea into a usable article outline. You give it a topic, who you are writing for, what you want the reader to get out of it, some notes on search intent, and any competitor observations. It then sends that information to an AI model and gets back a structured outline. The workflow is part of a free library of starter n8n workflows meant to be simple enough to read through and understand, useful enough to actually run, and easy to adjust to your own needs. The author is explicit that this is not meant to be a giant automation system, just a small, understandable tool you can study and adapt. Under the hood, the workflow takes your editable inputs, sends a structured request to a chat model running locally through Ollama, cleans up the AI's response with some JavaScript formatting steps, and then creates a Google Doc containing the finished outline, including a suggested title, article sections, a quick copy block, and link ideas. To run it, you need n8n installed, Ollama running locally with a chat model such as llama3.1:8b, and a Google Docs credential connected inside n8n. Setup involves importing the included workflow file, connecting your Google account, and confirming the local model name matches what you actually have installed. The workflow ships with no private credentials baked in, and is released under the MIT license.
An n8n workflow that turns a topic and some notes into a structured blog post outline using a locally running AI model.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly writer.
This repo across BitVibe Labs
Verify against the repo before relying on details.