Modern hardware and mature infrastructure are changing the economics of microservices. A look at operating costs, request latency, and ticketing capacity explains why enterprise software should evaluate modular monoliths first.
Why explicit business semantics matter for AI agents: a discussion of databases, ontologies, and their role in reliable analytics, automation, and decision support.
Five counterintuitive lessons from enterprise customer service agent deployments: first principles, simple architecture, deep retrieval engineering, manual data preparation, and research-oriented teams.
Black-box thinking and analogy are built on years of success. Why can first-principles thinking deliver a step change in user experience during major technological shifts?