Build intelligent appsin just one week.

Understand how large language models work. Set up your dev environment, get API keys, and make your first calls to Claude.

await client.messages.create({
  model: "claude-sonnet-4-5-20250514",
  messages: [{ role: "user", content: "Hello" }]
})

Master system prompts, few-shot patterns, chain-of-thought reasoning, and output structuring.

const systemPrompt = {
  role: "system",
  content: "You are a helpful assistant..."
}

Learn embeddings, vector databases, chunking strategies, and semantic search. Build a document ingestion pipeline.

const results = await vectorDb.query({
  embedding: await embed(userQuestion),
  topK: 5
})

Implement tool definitions, function calling, multi-step reasoning, and safety guardrails.

tools: [{
  name: "search_web",
  description: "Search the web",
  input_schema: { type: "object", ... }
}]

Combine LLM APIs, prompt engineering, RAG, and agent patterns into a polished, production-ready AI application.

// Deploy your AI-powered app
await deploy({
  app: myAIApp,
  platform: "vercel"
})