Structured outputs are the pattern where an AI model returns data that is shaped to match a schema your software defines in advance.

In this episode, Satish uses a simple real-life example first, then turns the idea into a practical technical mental model for engineers and curious builders.

In Simple Terms with Satish: daily tech trends explained simply, with enough technical depth for builders.

Production note: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish.

Engineer notes:

Exact technical references:

- OpenAI says Structured Outputs ensures responses adhere to a supplied JSON Schema.

- OpenAI says Structured Outputs, unlike JSON mode, guarantees schema adherence.

- Gemini says structured outputs use a provided JSON Schema for predictable, type-safe results.

- Gemini positions structured outputs for extraction, classification, and agentic workflows.

- JSON Schema says object `properties` are not required by default.

- JSON Schema uses `required` to declare mandatory fields.

- JSON Schema documents object-boundary controls like `additionalProperties` and `unevaluatedProperties`.

Sources:

- https://developers.openai.com/api/docs/guides/structured-outputs

- https://ai.google.dev/gemini-api/docs/structured-output

- https://json-schema.org/understanding-json-schema/reference/object