We study where AI fails on real physical work.
Each question has a pass mark fixed before the data arrives. We publish the results that fail beside the ones that pass.
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Do frontline workers beat the best AI model on real factory calls?
Same situations. Graded by what reality showed, not by opinion.
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Does a model trained on created records beat one trained on labels?
Equal human hours. Factories the model has never seen. The written rules as the hardest rival.
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What does a wrong call cost a factory?
Every lost minute of output has a decision in front of it. We measure which ones a better call would have saved.
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Why AI models fail on the factory floor
Most of what a model knows about work comes from text people chose to write. Frontline calls are mostly never written.
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Created, not annotated
Annotation adds a label to a record that already exists. Creation makes the record itself, then reality grades it.
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Every lost minute has a decision in front of it
Every loss in a factory’s output is preceded by a call someone on the floor made, or did not make.
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