AI SDK Learning Projects - Expanded Guides

AI SDK Learning Projects - Expanded Guides

Goal: Master the Vercel AI SDK through hands-on projects that teach its core concepts by building real applications.

This directory contains comprehensive, expanded project guides for learning the AI SDK deeply. Each project guide includes:

  • Learning Objectives - What you’ll master
  • Deep Theoretical Foundation - Concepts explained thoroughly
  • Complete Project Specification - Exact requirements
  • Solution Architecture - Design guidance (not implementation)
  • Phased Implementation Guide - Step-by-step progression
  • Testing Strategy - How to verify correctness
  • Common Pitfalls - Mistakes to avoid
  • Extensions & Challenges - Ways to go deeper
  • Self-Assessment Checklist - Verify your understanding

Project Index

# Project Difficulty Time Core Concepts
01 AI-Powered Expense Tracker CLI Beginner Weekend generateObject, Zod schemas, structured output
02 Real-Time Document Summarizer Beginner-Intermediate 1 week streamText, SSE, React hooks, async iteration
03 Code Review Agent Intermediate 1-2 weeks Tools, agent loop, stopWhen, GitHub API
04 Multi-Provider Model Router Intermediate 1-2 weeks Provider abstraction, fallbacks, telemetry
05 Autonomous Research Agent Advanced 2-3 weeks prepareStep, knowledge graphs, multi-tool agents
06 Personal AI Command Center Advanced 1 month+ Multi-agent orchestration, synthesis project

Learning Path

                    ┌─────────────────────────────────────────────────────────┐
                    │                   LEARNING PROGRESSION                    │
                    └─────────────────────────────────────────────────────────┘

    ┌─────────────┐        ┌─────────────┐        ┌─────────────┐
    │   P01       │        │   P02       │        │   P03       │
    │  Expense    │───────►│  Streaming  │───────►│  Code       │
    │  Tracker    │        │  Summarizer │        │  Review     │
    │             │        │             │        │  Agent      │
    │ ─────────── │        │ ─────────── │        │ ─────────── │
    │ Structured  │        │ Real-time   │        │ Tool        │
    │ Output      │        │ Streaming   │        │ Calling     │
    └─────────────┘        └─────────────┘        └──────┬──────┘
                                                         │
                                                         │
                           ┌─────────────────────────────┴─────────────┐
                           │                                           │
                           ▼                                           ▼
                    ┌─────────────┐                           ┌─────────────┐
                    │   P04       │                           │   P05       │
                    │  Model      │                           │  Research   │
                    │  Router     │                           │  Agent      │
                    │             │                           │             │
                    │ ─────────── │                           │ ─────────── │
                    │ Provider    │                           │ Complex     │
                    │ Abstraction │                           │ Agent State │
                    └──────┬──────┘                           └──────┬──────┘
                           │                                          │
                           └───────────────────┬──────────────────────┘
                                               │
                                               ▼
                                        ┌─────────────┐
                                        │   P06       │
                                        │  AI Command │
                                        │  Center     │
                                        │             │
                                        │ ─────────── │
                                        │ Multi-Agent │
                                        │ Synthesis   │
                                        └─────────────┘

AI SDK Learning Progression Path

How to Use These Guides

  1. Read the parent file first: Start with AI_SDK_LEARNING_PROJECTS.md for the conceptual foundation
  2. Follow the progression: Complete projects in order (P01 → P06)
  3. Don’t skip theory: Each guide has a theoretical foundation—read it before coding
  4. Use hints sparingly: Try to solve challenges yourself before checking hints
  5. Complete self-assessments: Use the checklists to verify deep understanding

Prerequisites

Before starting these projects, ensure you have:

  • TypeScript/JavaScript proficiency - You should be comfortable with async/await, Promises, and type annotations
  • Node.js environment - Node.js 18+ with npm/pnpm
  • API keys - OpenAI API key at minimum; Anthropic and Google for later projects
  • Basic React knowledge - For Project 2 onwards
  • Git basics - For Project 3

Resources

Official Documentation

  • “Programming TypeScript” by Boris Cherny - TypeScript fundamentals
  • “JavaScript: The Definitive Guide” by David Flanagan - Async patterns, streams
  • “Designing Data-Intensive Applications” by Martin Kleppmann - System design

Academic Papers

  • “ReAct: Synergizing Reasoning and Acting” by Yao et al. - Agent foundations