The era of monolithic AI is ending. For years, enterprises have treated large language models (LLMs) as singular, all-knowing “brains-in-a-jar.” But leaders who have moved past basic proofs-of-concept have hit a wall: these models possess vast knowledge but fundamentally struggle with execution. An AI can write a marketing email, but it can’t run the entire marketing campaign.
This is because a single “know-it-all” model is an architectural bottleneck. It is hard to specialize, creates a single point of failure, and cannot manage the complex, stateful workflows that define a real-world enterprise.
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