The evolution of artificial intelligence is moving from larger, single‑model systems toward agentic AI, where multiple purpose‑built agents collaborate in real time. This shift hinges on a unified, identity‑resolved data layer that provides shared context, ensuring agents act coherently rather than drift. Interoperable APIs and an architecture designed for continuous feedback loops replace monolithic platforms, allowing AI to operate as an ongoing intelligence layer rather than a one‑off answer generator. Humans remain central, setting goals and overseeing the autonomous agents that handle minute‑by‑minute decisions.
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