[▲ Vercel Community](/) · [Categories](/categories) · [Latest](/latest) · [Top](/top) · [Live](/live) [Discussions](/c/community/4) # How to build production-ready AI applications with Vercel AI SDK and Next.js 34 views · 1 like · 1 post Tarun Nagar (@tarun-nagar) · 2026-04-03 · ♥ 1 I’ve been exploring AI software development using modern tools like `Vercel AI SDK` and `Next.js`, and I’m trying to understand the best way to build and deploy production-ready AI applications. From what I’ve seen in the community, many developers are working on things like AI chatbots, real-time streaming apps, and agent-based workflows using the `AI SDK`. However, I’m still unclear about the overall development workflow and best practices. ## Key Questions Here are a few things I’d love to get insights on: - **Architecture:** What is the ideal architecture for building AI-powered web apps using Vercel? - **Streaming:** How do you manage real-time data streaming and responses in AI applications? - **Security:** What are the best ways to handle API keys and security when working with AI models? - **Optimization:** How do you optimize performance and reduce costs when deploying AI apps? - **Resources:** Are there any recommended starter templates or real-world projects for beginners? I’m especially interested in building scalable AI applications (like chatbots or AI assistants) that can handle real users in production. Would love to hear from developers who have already built and deployed AI apps using this stack. Any tips, tools, or lessons learned would be really helpful!