"The Missing Layer Between AI and the Real World." Over the past few months, I've noticed something The AI industry is racing to build models that are smarter, faster, more autonomous.
But, we talk less about what happens after an AI decides
to act. Not what it writes or answers, but when it deploys infrastructure, moves money, accesses sensitive data, or interacts with the real world. I'm wondering if there's a missing execution layer between an AI's decision and the action itself. So, before building anything, I'd love to talk with AI engineers, researchers, MLOps, security folks. What's the biggest failure you've seen in production? What safety checks did you have to build yourself? I'm not selling. I'm listening, trying to see whether there's a real need for the layer that ex envisions.
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