In the fast-evolving landscape of AI-driven testing, Cypress introduces cy.prompt() as a specialized command designed to streamline the creation and maintenance of reliable tests, contrasting with the more generalized Model Context Protocol (MCP) agents. While MCP agents offer flexibility and model-agnostic capabilities for general-purpose automation by interfacing with browsers through a standard protocol, they face challenges such as latency and issues with maintaining accuracy and stability in testing environments. In contrast, cy.prompt() is integrated directly into the Cypress test runner, allowing users to write and execute test flows in natural language, with features like self-healing and caching for speed and resilience. This approach not only accelerates test authoring but also adapts to application changes without breaking, thereby reducing false failures and enhancing collaboration by enabling non-engineering team members to contribute to test creation. As AI in testing continues to evolve, Cypress believes that combining natural language convenience with the robustness of purpose-built testing tools offers a promising path for reliable and efficient test automation.