Editorial / AI Engineering
Most AI projects stall between a convincing demo and a dependable system. The cause is rarely the model — it is unclear boundaries around data, authority, failure, and ownership.
3 field notes
When customers, orders, inventory, and invoicing drift apart across tools, the fix is a system boundary, not another integration. How we structured our Go operations backend.
Query planning, multi-step retrieval, and answer verification are what turn a RAG prototype into a system whose answers you can check. Notes from building Pixie Q.
