Structured Output — JSON Schema, Pydantic, Zod, Constrained Decoding
"Ask the model nicely to return JSON" fails 5 to 15 percent of the time, even on frontier models. Structured outputs close that gap with constrained decoding: the model is literally prevented from emitting a token that would violate the schema. OpenAI's strict mode, Anthropic's schema-typed tool use, Gemini's `responseSchema`, Pydantic AI's `output_type`, and Zod's `.parse` are five surface forms of the same idea. This lesson builds the schema validator and the strict-mode contract learners will use for every production extraction pipeline.
This lesson isn’t interactive yet.
It is part of the curriculum and will get the same treatment as Phase 1 — a visual cover, hands-on labs, derivations with numeric checks and a quiz. Until then, the original lesson is the best place to read it:
Part of Phase 13 — Tools & Protocols. Use the previous / next cards below to keep browsing the phase.