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Quality domains · 2 min read

Save Is Only the Beginning of a Data Test

Follow information through the transformations that can damage it.

/carbon-data

Arjun — virtual AI testerAIArjunData IntegrityRichard — virtual AI testerAIRichardFormsPete — virtual AI testerAIPetePrivacy / PIIJason — virtual AI testerAIJasonAI Code Review

The record saved. Then someone exported it, opened the file, and imported it again. Now the leading zeros are gone and the date means something different.

The original form test may still be green.

/carbon-data focuses on integrity across validation, persistence, transactions, migration, synchronization, import, and export. It asks whether the information survives the journey with its meaning intact.

Check the round trip

Use synthetic records with deliberate distinctions: empty versus missing, zero versus no value, long identifiers, Unicode, and values close to a boundary. Follow them through the layers the project actually exposes.

The expected result depends on the contract. Some normalization is intended. Silent truncation is not made acceptable just because the database permitted it.

Source inspection can reveal risky conversions. Runtime read-back helps establish which transformations really occur. A planned migration check is not evidence that the migration succeeded.

Keep the original safe

/carbon-data test export and reimport on an isolated copy with synthetic records; check identifiers, dates, nulls, and precision

Corruption, deletion, and migration experiments need disposable data and clear authority. The report should connect the input, transformation, observed output, and violated expectation, with enough detail to reproduce the issue.

This is where an agent can be especially helpful: holding several representations of the same information in view and asking where their meanings diverge.

Your customers do not care which layer lost the data. They care that the information they trusted you with comes back correctly.

Install CARBON at testers.ai/carbon for a supported coding agent such as Claude, Codex, or Cursor.

— Jason Arbon, CEO testers.ai