Jason Liu
Instructor · Intermediate
Practical patterns for getting reliable structured data from LLMs.
Skills
Structured outputs, Extraction, RAG
AI directory search
Search across educators, skills, and resources.
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
6 matches for "Structured outputs"
Educators
Providers and platforms
OpenAI
OpenAI model docs and Cookbook · Beginner to advanced
Official model and implementation material for learning current GPT-5.5 and smaller GPT-5.4 variants, plus Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, and structured outputs.
Topics
GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories
Mirascope
Mirascope Learn · Intermediate
Useful for Python developers who want clean abstractions around prompts, tools, and model calls.
Topics
LLM app architecture, Prompt engineering, Tool calling
Resources
Vercel AI SDK Tutorial
Free tutorial · Matt Pocock · Beginner to intermediate
You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents.
ai sdk, typescript, streaming, structured outputs, tool calling
OpenAI prompt engineering
Guide · OpenAI · Intermediate
You want the broader official OpenAI prompting reference for task framing, examples, structure, and model-specific workflow design.
openai, prompt engineering, structured outputs, reasoning, tool use
Instructor
Docs · Jason Liu · Intermediate
Use this when you want Jason Liu's material for structured outputs and related AI skills.
Structured outputs, Extraction, RAG