Insights
Practical writing on AI transformation, agentic systems, data quality, and drawing intelligence — from the team building it, not observing it.
Trimming whitespace is easy. Recognizing that three different records are the same customer — and merging them without breaking anything — is the part that pays. What we learned building ByteCleanse.
The gap between an impressive agent demo and a production agent is evaluation, checkpoints, and audit trails. A field guide to building agents your risk team can approve.
A missed change on a drawing revision can cost six figures on site. How alignment, structural diffing, and change classification work under the hood of DraftLens.
The best first AI use case isn't the flashiest — it's the one that builds the data, evaluation, and delivery muscles every later use case will reuse.
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