Cohere and Guardrails AI offer a comprehensive solution for generating synthetic structured data, which is increasingly important for training AI models, especially in fields like finance and healthcare. Cohere provides access to advanced Large Language Models (LLMs) through a simple API, allowing developers to generate text for various applications without needing to build their own models. Guardrails AI enhances this output by implementing structural and quality assurance checks using the Pydantic format, ensuring the data is accurate and reliable. The article describes a step-by-step process of using these two technologies together to create realistic synthetic data, highlighting the effectiveness of combining Cohere's generation capabilities with Guardrails' validation processes to produce structured data suitable for AI training. This approach not only simplifies the generation of diverse, contextually relevant data but also ensures robust data quality through validation, making it a valuable tool for developers working with AI.