In this detailed exploration of MLOps automation, the article illustrates how CircleCI's inbound webhooks can be utilized to trigger workflows based on events outside of a code repository, enhancing the traditional CI/CD pipeline used in DevOps. By demonstrating the setup for automating model evaluations in a CircleCI GPU environment, particularly using an image-detection model trained to detect mask-wearing, it emphasizes the benefits of automating the testing process every time a model is updated on platforms like Hugging Face. This approach, facilitated by webhooks, allows for faster feedback loops and more efficient model delivery by eliminating the need for manual pipeline triggers. The article concludes by highlighting the evolving nature of software delivery practices and encourages users to leverage CircleCI’s webhook capabilities for more flexible and responsive CI/CD pipeline management.