This approach forces builders to ground architectural decisions in real product needs and operational realities rather than chasing technical capabilities, improving trustworthiness and efficiency.
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Backwards AI design starts with tech, not constraints
The article describes a common pattern where AI teams start by choosing LLMs, frameworks, and features before defining product constraints. This leads to architectures that are technically impressive but operationally difficult, expensive, slow, and hard to trust.