Decoder. plain-English AI glossary

Structured output

● Core

Forcing a model to output data in a specific format — JSON, XML, or a validated schema — instead of free-form text.

Think of it like

Like asking for a form filled out neatly instead of a rambling paragraph.

Example

Prompt: "Return a JSON object with keys name, age, email." The model outputs `{"name": "Alice", "age": 30, "email": "..."}` guaranteed.

How it actually works

Some APIs support constrained generation or JSON mode that hard-limits token choices to valid JSON sequences. Others use parsing + regeneration: generate text, parse it, if invalid ask again. Quality and speed matter — true schema enforcement is faster and more reliable than post-hoc parsing.

For product teams

Unblocks downstream automation: once output is JSON, it's machine-readable, no brittleness.

For engineers

Use model API's JSON mode if available (faster, guaranteed valid). Else: prompt clearly, add error handling, regenerate invalid outputs.

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