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Draft email replies and LinkedIn posts with n8n workflows

The author built n8n workflows that draft Gmail replies for approval, generate LinkedIn posts from a topic, and extract tasks from emails into Google Tasks or Notion.

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Use case overview

The author built n8n workflows that draft Gmail replies for approval, generate LinkedIn posts from a topic, and extract tasks from emails into Google Tasks or Notion.

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Reported experience

  1. What they did

    The author built three n8n workflows. One reads new Gmail messages, sends the body to OpenAI or Gemini for a reply, asks for approval, then sends it through Gmail. Another takes a topic from a form, has OpenAI write a LinkedIn post, and saves it to Notion or emails it. The third watches Gmail, pulls out tasks by keyword or AI, and adds them to Google Tasks or Notion.

  2. How it went

    The post gives no measured results. It only claims that small automations like these can save hours each week. Each workflow is shown in a linked video tutorial.

  3. Worth knowing

    You can run n8n locally with npm or Docker, or use the cloud version. The author suggests starting with a simple test workflow first.

Example prompts

Try with n8n
Build me an n8n workflow that watches my Gmail for new emails matching [label or sender], drafts a reply in my tone using [short tone description], and saves it as a draft for me to approve. Add a second branch that extracts any tasks from the email into [Google Tasks or Notion database]. You're done when a test email produces both a draft and a task. Never send an email automatically; leave everything as a draft.

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