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Field notes

Practical notes on building systems that hold up in real operations.

Patterns, teardown notes, and example scenarios around internal tools, AI automation, integrations, infrastructure, and workflow software.

Integration

Integration Is Easy Until the Data Lies: Designing for Messy Records and Exceptions

Most “connect system A to system B” work fails in production because the real problem is not the API call—it’s inconsistent identifiers, partial records, and one-off exceptions that operators need handled safely. This article outlines a practical approach to data normalization, exception routing, and operational controls that keep integrations stable as reality shifts.