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Output and formats · Updated June 17, 2026

JSON

JSON (JavaScript Object Notation) is a lightweight text format for structured data: keys, values, arrays, and nested objects that machines parse reliably.

When AI products return JSON instead of prose, designers can map outputs directly into forms, tables, APIs, and downstream tools without manual cleanup.

What it means

JSON is the most common interchange format for structured model output: field names, typed values, and arrays the product can validate and render predictably.

Why designers should care

JSON-backed flows need visible schemas, field-level errors, and preview states so users trust machine-readable output before it hits production systems.

Example

A “Generate API spec” tool returns JSON with endpoints and params; the UI renders an editable table, highlights invalid types, and exports only after validation passes.

Common mistakes

  • Showing raw JSON blobs with no field labels or human-readable preview.
  • Assuming the model always returns valid JSON without retry or repair UX.
  • Hiding structure from non-technical users who still need to approve content.

Frequently asked questions

What is JSON?

JSON (JavaScript Object Notation) is a lightweight text format for structured data: keys, values, arrays, and nested objects that machines parse reliably.

Why should designers care about JSON?

JSON-backed flows need visible schemas, field-level errors, and preview states so users trust machine-readable output before it hits production systems.

What are common mistakes with JSON?

Showing raw JSON blobs with no field labels or human-readable preview; Assuming the model always returns valid JSON without retry or repair UX; Hiding structure from non-technical users who still need to approve content.