Vercel AI SDK Masterclass: From Fundamentals to Deep Research Clone preview image

Fundamentals

  • generateText: Basic async text generation with model and prompt
  • Unified interface: Switch models (GPT-4o, Perplexity, Gemini) by changing one line
  • Tool calling: Define tools with name, description, parameters, and execute function; model decides when to call them
  • maxSteps: Enables multi-step agent loops — model calls tools, gets results, continues until text output or max steps

Structured Output

  • generateObject: Returns typed objects using Zod schemas
  • Zod's describe function adds detailed instructions per field

Deep Research Clone (218 lines)

  1. Generate sub-queries from the main topic
  2. Web search each query using Exa API
  3. Evaluate results (relevant/irrelevant) with tool-calling agent
  4. Extract learnings and follow-up questions
  5. Recurse with depth/breadth parameters, accumulating research state
  6. Generate final report in markdown using all accumulated data

Key architecture: recursive deepResearch function with accumulated state, duplicate source prevention, and system prompt engineering for the final report.

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