Instructor
Structured outputs from LLMs
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3-0The Panel's Take
Instructor patches LLM clients to return validated, typed outputs using Pydantic models. Works with OpenAI, Anthropic, and other providers. Simple API for structured extraction.
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Instructor verdict: SHIP 🚀 3 ships · 0 skips from the expert panel Full review: shiporskip.io/tool/instructor
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<a href="https://shiporskip.io/api/badge-click/instructor" target="_blank" rel="noopener"><img src="https://shiporskip.io/api/badge/instructor" alt="Instructor Ship verdict on ShipOrSkip" width="360" height="90" /></a>[](https://shiporskip.io/api/badge-click/instructor)<iframe src="https://shiporskip.io/embed/instructor" title="Instructor ShipOrSkip verdict" width="360" height="260" style="border:0;border-radius:16px;max-width:100%;" loading="lazy"></iframe>The reviews
“The simplest way to get typed, validated outputs from LLMs. Pydantic integration is natural for Python developers.”
“Does one thing perfectly. No over-abstraction, just structured outputs. The anti-LangChain.”
“Structured outputs are the bridge between LLMs and traditional software. Instructor makes that bridge trivial to build.”