I built a system that turns Readwise highlights into formatted Anki flashcards using GPT-4 and n8n. Who would be interested in a concise setup guide?
I have been experimenting with similar automation setups over the past year and found that integrating GPT-4 with n8n for converting Readwise highlights into Anki cards saves a lot of time in the long run. I discovered that paying close attention to error handling and rate limits in the APIs is crucial for smooth operation. Setting up a clear pipeline for data extraction, processing with GPT-4, and then creating the Anki cards resulted in a reliable workflow that consistently delivered accurate and well-formatted flashcards.
Integrating GPT-4 with n8n to automate Readwise highlights into Anki cards has been a game changer in my workflow. During initial tests, I also faced challenges with data formatting and rough API responses. By refining prompt structures for GPT-4 and ensuring that each n8n node accurately logs its process, I achieved a much more robust pipeline. This setup not only reduces manual entry errors but also offers a scalable solution for handling large volumes of highlights. Continuous monitoring and iterative improvements have been essential for keeping the system efficient and reliable over time.