How I Tamed AI API Rate Limits with a Simple Queue

The author faced a common challenge when scaling a content generation tool reliant on the OpenAI API: rate limits. Initially, the tool worked fine for a small number of topics, but as requests scaled up, the API began throttling calls due to an unsustainable request pace. To resolve this, the author implemented a simple queue system that managed request rates effectively, ensuring smooth operation without hitting the API's limits. This solution highlights the importance of pacing and resource management in scaling applications that rely on third-party APIs.