As AI-powered features become increasingly common in Android apps, developers face a new set of challenges. How do we validate that the responses from AI systems are accurate, consistent, and safe to use? What happens when user input is ambiguous or when the generated output doesn't meet expectations? In this session, we will explore practical techniques to verify both the input and output of AI integrations in Android applications. We will cover methods such as structured prompts, schema validation, and output post-processing to ensure the responses from AI services remain predictable and aligned with your app's requirements. You will also learn how to write tests and define constraints that help catch edge cases early in development. This talk is for Android developers who are beginning to incorporate AI features into their apps and want to maintain the same level of confidence they have when working with traditional components.