AI Tools That Can’t Prove What They Did Will Hit a Wall

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Most AI products are still judged like answer machines. People ask whether the model is smart, fast, creative, cheap, or good at sounding human. Teams compare outputs, benchmark quality, and argue about hallucinations. That makes sense when the product is mainly being used for writing, search, summarisation, or brainstorming. It breaks down once AI starts doing real operational work. The question stops being what the system output. The real question becomes whether you can trust what it did, ...