Jason Liu
Creator of Instructor
Creator of Instructor, the premier library for structured LLM outputs and schema validation using Pydantic across Python, TypeScript, and Go. Independent AI systems consultant advising enterprise teams on structured extraction, synthetic data generation, and LLM evaluation.
Areas of focus
Professional niches
Proof of Work
Instructor: Structured Outputs and Schema Enforcement for LLMs
Designed and authored Instructor, an open-source framework with over 18,000 GitHub stars that wraps OpenAI, Anthropic, and open-weights models to guarantee strict JSON schema validation, automated retries with error feedback, and streaming Pydantic objects.
Schema complexity is constrained by maximum token limits and prompt context overhead during multi-step automated retry cycles.
Context: OpenAI function calling/structured outputs, Anthropic Claude tools, Ollama, Groq, Pydantic v2.
View missionValidation and Synthetic Data Generation with Structured Extraction
Published reference architectures and production patterns for LLM validation pipelines, demonstrating deterministic entity extraction and automated synthetic dataset generation for enterprise NLP migration.
Requires careful calibration of validation thresholds to prevent infinite retry loops on ambiguous unparsable input.
Context: Pydantic validator pipelines, GPT-4o, Claude 3.5 Sonnet, automated self-correction.
View mission