Level 1 Complete

You’ve built an interactive CLI chat that streams text, delivers structured JSON output and dynamically selects models. These six building blocks form the foundation for everything that follows.

What You Learned

• AI SDK: TypeScript toolkit with a unified API for all LLM providers — three libraries (Core, UI, RSC), one interface
• Provider system: One import, one model name — switch providers without code changes. selectModel for task-based model selection
• generateText: Generate text with a full result object — result.text, result.usage, result.finishReason and callbacks for monitoring
• streamText: Real-time feedback through token-by-token streaming — textStream for text, fullStream for all events
• Structured output: Typed JSON objects instead of free text — Zod schemas with Output.object, Output.array and Output.choice
• System prompts: Consistent LLM behavior through role definition — system for personality, prompt for the task

Updated Skill Tree

Next Level

Level 2: LLM Fundamentals — What actually happens INSIDE the LLM? Tokens, context windows and why your costs can explode. You’ll learn the technical foundations you need to build AI applications efficiently and cost-effectively.