AI application development often hits a wall when data contracts are unstable and difficult to manage. GraphQL provides the structure needed to ensure precise, reliable data access, while large language models enhance natural language interactions. Together, they enable predictable, secure, and easily governed data contracts for prompt engineering. This session explores how these technologies help reduce risks, improve data reliability, and overcome the challenges of integrating complex data sources in AI-driven applications.