Notes
Fewer topics. More judgement.
These pieces do not explain the model landscape. They focus on decisions that make an AI initiative defensible — or unnecessary.
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AI readiness: what to clarify before building
A concise review of workflow, data, ownership, evaluation and operations before an AI idea becomes a system.
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RAG and permissions: access before relevance
Why a knowledge system must constrain sources by identity and permission before generation.
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From prototype to an AI system others can operate
An engineering workflow for small complete slices, testable change and a clean handover.