This final thesis focuses on the development of a SAAS application that integrates various AI technologies into a unified central system. The goal was to solve the problem of fragmentation of AI models for different applications spread across various platforms and to enable easy integration and management of these technologies. Throughout this process, various technologies and tools were utilized, including Clerk for authentication, ChatGPT and Replicate AI for AI functionalities, Stripe for payment management, Crisp for chat support, Prisma ORM for database management, and Axios for handling HTTP requests. These technologies facilitated the development of a robust and scalable application capable of supporting a wide range of AI functionalities. Through this work, the importance of testing, upgrading, and maintaining the application was also understood. The testing process ensured the correctness of the application's functionality and facilitated the identification and resolution of issues. Furthermore, emphasis was placed on the continuous upgrading and maintenance of the application to ensure its long-term sustainability and alignment with the latest technological trends.