Platform Notes · July 2026 · 5 MIN READ

Why AI Needs Context Before It Needs Another Model

Missing business meaning is often misdiagnosed as a model problem.

Brahma Reddy · Lovable Industry Lead · Data + AI

Enterprise questions depend on definitions, relationships, ownership, time, and policy. Raw data rarely carries enough of that meaning by itself.

Before changing models, inspect the context supplied to the current one: semantic definitions, entity relationships, permitted sources, and the operating decision.

Context engineering is product work. It determines what the AI can understand and what a person can safely do with the result.

Put the lesson to work.

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