Go beyond simple UI and learn a process for building complex applications like a 3D AI chess game. This advanced workflow covers generating 3D code, streaming AI thoughts, and a unique meta-workflow for debugging AI-generated code.
with Claire Vo
Begin by prompting v0 to generate the foundational code for a complex interactive experience. For example, ask it to create a 3D scene with interactive elements using a library like Three.js.
Enhance the application by streaming data from an AI model in real-time. Use the Vercel AI SDK to display the model's 'thinking' process, providing a behind-the-scenes look at its reasoning.
For long-running agentic applications, use a service like Vercel Workflows. This ensures the system is resilient to API outages or timeouts by automatically retrying failed operations.
When you encounter a bug in unfamiliar, AI-generated code (like a complex 3D file format), use other AI models as a research tool. Ask them to explain the format and how it works to build your understanding.
Apply the knowledge gained in the previous step to prompt v0 to create a custom debugging tool directly within your application. This allows you to visualize and interact with the problematic code to find a solution.
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