For years, AI applications struggled with fragmented tools, custom integrations, and incompatible systems, creating costly maintenance and scalability challenges. Then a new standardized approach emerged, enabling AI models, data sources, and tools to connect seamlessly—reducing complexity and accelerating innovation across the AI ecosystem.