Transform Readwise highlights into weekly content ideas with Gemini AI

by Julian Kaiser ✓ · 283 views · created 2025-10-27 · Content Creation, AI Summarization

What this workflow does

This AI workflow has 15 nodes and runs on a schedule (cron 0 9 * * 1) (plus 1 other trigger). Along the way it connects OpenRouter Chat Model. It also calls readwise.io over HTTP.

How it runs

Trigger: On a schedule (cron 0 9 * * 1) (plus 1 other trigger).

1. Fetch Articles (HTTP Request): calls readwise.io
2. Split Article Results (Split Out): splits a list into separate items
3. Filter: keeps only the items that match a condition
4. Fetch Highlights (HTTP Request): calls an HTTP API
5. Split Highlights Results (Split Out): splits a list into separate items
6. Find Highlights for Article (Filter): keeps only the items that match a condition
7. Merge Articles & Highlights (Code): runs custom JavaScript code
8. Prepare Prompt (Code): runs custom JavaScript code
9. Generate Weekly Insights (Basic LLM Chain): sends a prompt to an LLM, with model: AI Model
10. Convert Insights to HTML (Markdown): converts between Markdown and HTML

…plus 2 more steps. See the full node list below.

Services it uses

OpenRouter Chat Model

HTTP calls to: readwise.io

Before you upgrade to n8n 3.0

Nodes used (9)

• HTTP Requestn8n-nodes-base.httpRequest
• Split Outn8n-nodes-base.splitOut
• Coden8n-nodes-base.code
• Filtern8n-nodes-base.filter
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• OpenRouter Chat Model@n8n/n8n-nodes-langchain.lmChatOpenRouter
• Markdownn8n-nodes-base.markdown
• Schedule Triggern8n-nodes-base.scheduleTrigger
• Manual Triggern8n-nodes-base.manualTrigger

From the author

Turn Your Reading Habit into a Content Creation Engine This workflow is built for one core purpose: to maximize the return on your reading time. It turns your passive consumption of articles and highlights into an active system for generating original content…

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