AI SDK Tutorial Hub: Your Complete Guide to Building AI Applications

What You Will Find Here

This hub serves as your central navigation point for all AI SDK and AI development tutorials. Our content covers:

• Vercel AI SDK - The unified TypeScript toolkit for building AI applications
• ModelFusion - Advanced model integration and streaming capabilities
• OpenAI Integration - GPT-4, GPT-4o, and fine-tuning tutorials
• Anthropic Claude - Claude integration and Computer Use features
• Practical Projects - Real-world applications like SQL analyzers and chatbots

Beginner Tutorials

Start your AI development journey here. These tutorials assume basic JavaScript/TypeScript knowledge but no prior AI SDK experience.

Getting Started with Vercel AI SDK

Quick Start: Your First AI-Powered Function

Here is a simple example to get you started with the Vercel AI SDK:

import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai';
 
// Generate text with a single function call
const { text } = await generateText({
  model: openai('gpt-4o'),
  prompt: 'Explain what an AI SDK is in simple terms.'
});
 
console.log(text);

This example demonstrates the core simplicity of the AI SDK - just import, configure your model, and generate content.

Intermediate Tutorials

Ready to build more complex applications? These tutorials cover streaming, tools, structured data, and real-world integrations.

AI SDK Features & Integrations

Data & Analytics Tutorials

Code Preview: Streaming Chat with AI SDK

Building a streaming chat interface is straightforward with AI SDK UI:

// Server: app/api/chat/route.ts
import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';
 
export async function POST(req: Request) {
  const { messages } = await req.json();
 
  const result = await streamText({
    model: openai('gpt-4-turbo'),
    system: 'You are a helpful AI assistant.',
    messages,
  });
 
  return result.toAIStreamResponse();
}

// Client: app/chat/page.tsx
'use client';
import { useChat } from 'ai/react';
 
export default function ChatPage() {
  const { messages, input, handleInputChange, handleSubmit } = useChat();
 
  return (
    <div className="flex flex-col gap-4">
      {messages.map((m) => (
        <div key={m.id} className="p-4 rounded-lg">
          <strong>{m.role === 'user' ? 'You' : 'AI'}:</strong> {m.content}
        </div>
      ))}
      <form onSubmit={handleSubmit}>
        <input
          value={input}
          onChange={handleInputChange}
          placeholder="Ask anything..."
          className="border p-2 rounded w-full"
        />
      </form>
    </div>
  );
}

Advanced Tutorials

Master advanced patterns including tool calling, structured outputs, multi-step workflows, and production optimization.

Advanced AI SDK Patterns

Code Preview: Structured Data with Zod Schemas

Generate type-safe structured data with AI SDK:

import { generateObject } from 'ai';
import { openai } from '@ai-sdk/openai';
import { z } from 'zod';
 
// Define your output schema
const RecipeSchema = z.object({
  name: z.string().describe('Recipe name'),
  ingredients: z.array(z.object({
    name: z.string(),
    amount: z.string(),
  })),
  steps: z.array(z.string()),
  prepTime: z.number().describe('Preparation time in minutes'),
});
 
// Generate structured, validated output
const { object: recipe } = await generateObject({
  model: openai('gpt-4-turbo'),
  schema: RecipeSchema,
  prompt: 'Create a recipe for chocolate chip cookies.',
});
 
// TypeScript knows the exact shape of recipe
console.log(`${recipe.name} - ${recipe.prepTime} minutes`);
recipe.ingredients.forEach(i => console.log(`- ${i.amount} ${i.name}`));

Specialized Tutorials

Explore AI integration in specific domains and use cases.

Voice & Audio AI

Model-Specific Guides

Learning Path Recommendations

Path 1: Web Developer to AI Developer

1. Start with Building AI Magic with Vercel SDK 3.1
2. Progress to AI SDK 4.0 Features
3. Build a project with AI-Powered SQL Analysis

Path 2: Building Production Chatbots

1. Understand the basics with Vercel AI SDK with ModelFusion
2. Implement with Building Conversational AI
3. Add intelligence with Dialogflow Integration

Path 3: AI Automation Specialist

1. Learn AI SDK for Computer Use
2. Explore Orchestrating Agents
3. Build Code Interpreters

Related Resources

AI & Automation Content

For broader context on AI and automation in business and development:

• AI and Automation Solutions Hub - Our comprehensive pillar page covering all AI topics
• AI in Web Development - How AI is transforming web development
• Business Automation with AI - Practical business applications

AI Models & Platforms

• GPT-4o Multimodal Capabilities - Understanding OpenAI's latest model
• Claude AI Excellence Guide - Mastering Anthropic's Claude
• Google Gemini Analytics - Building with Gemini

Protocol Resources

• Understanding MCP and A2A - AI context protocols
• Introduction to MCP - Beginner MCP quickstart

Quick Reference

AI SDK Core Functions

Supported Providers

The AI SDK supports multiple providers through a unified API:

• OpenAI - GPT-4, GPT-4o, GPT-4 Turbo
• Anthropic - Claude 3, Claude 3.5 Sonnet
• Google - Gemini, Gemma
• Mistral - Mistral Large, Medium, Small
• xAI - Grok
• Local - Ollama, LM Studio

Stay Updated

AI SDKs evolve rapidly. Bookmark this hub and check back regularly for new tutorials covering the latest features and best practices.

Ready to start building? Pick a tutorial from the beginner section and begin your AI development journey today.

Reference: This hub aggregates tutorials based on the Vercel AI SDK documentation and our hands-on experience building AI applications.