AIOS adaptive search engine
AI Automation Applications are no longer experiment-stage toys: they now coordinate business processes, trigger downstream systems, and change roles people perform day-to-day. This article breaks open
Search is no longer a simple inverted index and keyword match. Modern applications need context-aware retrieval, dynamic orchestration, model-aware ranking and closed-loop feedback — all working toget
AI projects fail when they remain ideas. An AI development framework should be the bridge that turns experimentation into dependable, measurable automation. This article walks three audiences — curiou
Introduction: why real-time automation matters for offices
Imagine a workplace where an incoming customer email triggers an identity check, extracts key contract clauses, routes a summary to le