Asking AI to Infer Data Shapes From Samples

AI can infer schemas from a handful of representative samples; the quality of the schema depends entirely on whether your samples cover edge cases.

What AI does well here

• Propose a schema (types, optional fields) from 3-10 JSON samples.
• Generate a parser plus parse tests from those samples.

What AI cannot do

• Know about fields that never appeared in your samples.
• Guarantee the inferred types match an upstream contract.

Practice this safely

Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.

1. 1Ask AI to explain schema in plain language, then underline anything that sounds uncertain or too broad.
2. 2Give it one detail from "Asking AI to Infer Data Shapes From Samples" and ask for two possible next steps plus one reason each step might be wrong.
3. 3Check parsing against a trusted source, teacher, adult, expert, or original document before you use it.