Transform Readwise Highlights into Weekly Content Ideas with Gemini AI

This n8n workflow automates the process of fetching your latest Readwise highlights, processing them with Gemini AI via OpenRouter to generate content ideas, and then formatting these ideas into a structured Markdown output. It's designed to help content creators quickly turn their reading insights into actionable content prompts.

What it does

This workflow performs the following steps:

1. Triggers Manually or on Schedule: The workflow can be executed manually or set to run on a recurring schedule (e.g., weekly).
2. Fetches Readwise Highlights: Makes an HTTP request to the Readwise API to retrieve your latest highlights.
3. Filters for New Highlights: (Implicit based on common Readwise usage, but not explicitly shown in JSON) Typically, a workflow would filter for highlights added since the last run.
4. Generates Content Ideas with AI: For each highlight, it uses a Basic LLM Chain node, configured with an OpenRouter Chat Model (likely Gemini AI), to generate content ideas based on the highlight's text.
5. Splits AI Output: If the AI generates multiple ideas in a structured format (e.g., a list), the Split Out node separates them into individual items for further processing.
6. Formats Output to Markdown: Transforms the generated content ideas into a clean, readable Markdown format, suitable for easy sharing or integration into other tools.

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running n8n instance.
• Readwise Account & API Token: An active Readwise account and a personal API token to access your highlights.
• OpenRouter Account & API Key: An OpenRouter account and an API key. This workflow is configured to use OpenRouter's API, which provides access to various LLMs, including Gemini AI.
• LangChain Integration: Ensure your n8n instance has the @n8n/n8n-nodes-langchain package installed and configured.

Setup/Usage

1. Import the Workflow:
   • Download the provided JSON file.
   • In your n8n instance, go to "Workflows" and click "New".
   • Click the "Import from JSON" button and paste the workflow JSON or upload the file.
2. Configure Credentials:
   • HTTP Request (Readwise): Edit the "HTTP Request" node. You will need to set up a credential for Readwise. Typically, this involves adding an HTTP Header Authentication with your Readwise API token (e.g., Authorization: Token YOUR_READWISE_API_TOKEN).
   • OpenRouter Chat Model: Edit the "OpenRouter Chat Model" node. You will need to set up an OpenRouter credential, providing your OpenRouter API key.
3. Customize the AI Prompt (Optional):
   • Review and adjust the prompt within the "Basic LLM Chain" node to refine how Gemini AI generates content ideas from your highlights.
4. Set Schedule (Optional):
   • If you want the workflow to run automatically, configure the "Schedule Trigger" node with your desired interval (e.g., once a week).
5. Execute the Workflow:
   • You can manually test the workflow by clicking "Execute Workflow" on the "Manual Trigger" node.
   • If scheduled, it will run automatically at the specified times.

This workflow provides a powerful way to leverage your reading and AI to continuously fuel your content creation pipeline.