# Principles - [Solid data foundations](https://playbooks.equalexperts.com/mlops-playbook/principles/solid-data-foundations.md) - [Provide an environment that allows data scientists to create and test models](https://playbooks.equalexperts.com/mlops-playbook/principles/provide-an-environment-that-allows-data-scientists-to-create-and-test-models.md) - [A machine learning service is a product](https://playbooks.equalexperts.com/mlops-playbook/principles/a-machine-learning-service-is-a-product.md) - [Apply continuous delivery](https://playbooks.equalexperts.com/mlops-playbook/principles/apply-continuous-delivery.md) - [Evaluate and monitor algorithms throughout their lifecycle](https://playbooks.equalexperts.com/mlops-playbook/principles/evaluate-and-monitor-algorithms-throughout-their-lifecycle.md) - [MLOps is a team effort](https://playbooks.equalexperts.com/mlops-playbook/principles/mlops-is-a-team-effort.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://playbooks.equalexperts.com/mlops-playbook/principles.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.