Insights

Field notes on migration parity.

Short, technical writing on proving a mainframe migration lost nothing — COBOL data fidelity, the failure modes nobody catches, and feeding legacy data to AI without poisoning it.

Data fidelity

The silent data loss in COBOL migrations — and how to prove it didn't happen

A script-driven copybook-to-JSON conversion can corrupt your records without throwing a single error. Here are the exact failure modes, why they hide, and what a parity proof actually has to check.

Read →
AI & legacy data

Feeding AI the mainframe: the data-fidelity problem nobody's verifying

Everyone's racing to put forty years of enterprise records into AI systems. Almost no one can prove the data those models see is faithful to the source. That gap is a liability — and it's measurable.

Read →