Starting from square one
Most teams can build an AI prototype. A notebook answers a few prompts, a demo agent calls a tool once, and the room claps. Then reality shows up. Progress is halted by production traffic, noisy inputs, strict SLAs, compliance reviews, and cost pressure. This is where “AI as a feature” becomes “AI as a platform engineering problem.”
The trend is clear: platform teams are treating AI agents as a new execution model that needs shared infrastructure, security boundaries, observability, reliability controls,…

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