Finding a Data Problem Is Not Proving the Source Correction
A practical framework for separating detection, authorization, source cleanup and proof when operational data is wrong or uncertain.
The Refinery journal · Archive
The Refinery journal
More practical thinking about operational data, supported repair and proof at the source.
Ideas for better data
Building Refinery: Why the Database Stays in Charge
A lesson from designing Refinery is simple: improving operational data should strengthen the source of truth, not create another competing copy.
Before an AI Uses a Record, Ask Whether It Is Eligible
An AI assistant does not need every available record. It needs data that satisfies the requirements of the task it is about to perform.
The Hidden Cost of Fixing Data Everywhere Except the Source
Teams often patch bad data in reports, exports and prompts. The visible error disappears while the source record keeps creating the same operational cost.