Gram functions as a context layer for applications that require intelligent interaction with both first- and third-party data. It enables developers to create AI features that go beyond simple responses, allowing users to engage with products in innovative ways. For instance, the platform includes tools for session management, real-time performance monitoring, and user interaction insights, which are critical for understanding and improving the user experience. The tools offered by Gram facilitate the integration of various data sources, including APIs, databases, and data warehouses. This flexibility allows developers to turn their existing data into capabilities that enhance the functionality of their applications. The platform also includes a component library for embedding intelligent agents directly into products, which streamlines the development process. The focus on production-ready components means that teams can quickly deploy features that users will appreciate. A practical example of Gram's effectiveness comes from Polar, which transformed its payments API into a production-ready MCP server within a week. Using Gram, they implemented AI-assisted onboarding and automated merchant operations, making complex payment processes manageable through simple instructions. The infrastructure provided by Gram scales seamlessly, handling significant traffic while keeping costs low. With features like automatic authentication and testing capabilities, developers can focus on refining their product logic without worrying about backend complexities.