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Local AI models now predict user well-being from passive computer activity, offering explainable feedback directly within a workplace sensing application.
Multi-LLM revision pipelines often succeed not because of error correction, but because the second model simply re-solves the problem, especially in constrained tasks like multiple-choice question answering.