Enrique Lopez Manas

Google Developer Expert

Enrique López Mañas is a Google Developer Expert and independent IT consultant. He has been working with mobile technologies and learning from them since 2007. He is an avid contributor to the open source community and a FLOSS (Free Libre Open Source Software) kind of guy, being among the top 10 open source Java contributors in Germany. He is a part of the Google LaunchPad accelerator, where he participates in Google global initiatives to influence hundreds of the best startups from all around the globe. He is also a big data and machine learning aficionado. In his free time he rides his bike, take pictures, and travels until exhaustion. He also writes literature and enjoys all kinds of arts. He likes to write about himself in third person. You can follow him on Twitter (@eenriquelopez) to stay updated on his latest movements.

Guardrails and Sanity Checks: Verifying LLM Input and Output for Developers

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.