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After AI Returns JSON: Completeness, Nullability and Business Correctness Differ
The model returns legal JSON, which does not mean it can be written directly into the business system. This article refers to the JSON Schema official document to discuss the separate checks of required, null values, types, and unknown fields, and gives a simulation example of customer demand sorting. After format verification, the actual business meaning still needs to be checked. Passing the structure cannot be regarded as factual accuracy or that the operation has been authorized.
ChinaOPC Editorial TeamOriginal analysis2 min readChina2 views
Source timingPublic information and official documents; verified on October 23, 2026.
JSON Schema provides object field and constraint descriptions. This article designs AI output checking steps based on this. The specific rules should be determined by business needs rather than completely left to model generation.
First define the difference between missing and unknown
Simulate order demand extraction. When the customer does not specify the delivery date, he should clearly indicate that it is pending confirmation instead of filling in today. Missing fields, empty values, and not applicable can adopt different states, but they must be defined in advance to prevent subsequent systems from treating empty values as default promises.
In addition to the structure, the relationship must be verified
A start date later than the end date, a negative quantity, or a missing currency may all appear in syntactically correct output. The application should perform deterministic business checks and return inconsistent results for confirmation. It should not just let the model evaluate whether it is correct.
The error result is retained but does not enter the formal action
Record input, validation errors and processing versions, and explain to the operator any additional information that needs to be added. The test covers unknown fields, overlong content and exception types. The result after passing the verification only represents the structure that conforms to the definition. Publishing, sending and business writing still require their own permission control.
AI assists in organizing and writing, and editors check public sources. The main text is an independent analysis by ChinaOPC, with source facts and simulation plans separated; no interviews, financial audits or actual product testing have been conducted. Official documents are based on the original text of the source and have not been adapted or replaced. English translation of the Chinese edition, prepared with machine assistance and editorial checks. Source verification dates refer to the original Chinese research.
Source titles and publisher names are retained in their original language. Refer to the linked originals for official documents and current requirements.
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