Building with the AI SDK

The Vercel AI SDK has revolutionized how we build intelligent applications. In this post, I'll share my experience building AI-powered features and the patterns that work best.

// Why the AI SDK?

The AI SDK provides a unified interface for working with multiple AI providers. Here's what makes it special:

• Streaming by default: Real-time responses feel magical
• Tool calling: Extend AI capabilities with custom functions
• Provider agnostic: Switch between OpenAI, Anthropic, and others seamlessly

// Getting Started

Here's a simple example of streaming text generation:

```typescript import { generateText } from "ai"

const { text } = await generateText({ model: "openai/gpt-5-mini", prompt: "Explain React Server Components" }) ```

// Best Practices

1. Always stream when possible - Users appreciate seeing responses in real-time
2. Implement proper error handling - AI calls can fail, plan for it
3. Cache when appropriate - Not every request needs to hit the AI

// Conclusion

The AI SDK has become an essential tool in my development toolkit. It removes the complexity of working with AI while giving you full control when you need it.