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The calibration software market is living through the most significant inflection point in its history. Artificial intelligence is rewriting the economics of enterprise software across every vertical, and the question every calibration software company must now answer honestly is: Are we a feature business, or a vision business? Because in the AI era, those two things have very different futures.

AI agents are no longer a futuristic concept confined to technology companies. They are here, accessible, and remarkably easy to spin up. A metrologist can deploy an AI agent to draft calibration procedures. A quality manager can build one to flag out-of-tolerance trends across a fleet of reference standards.

In simpler terms, sycophancy refers to when someone flatters you excessively, often to win your favor. In the context of GPT-4 and other large language models, this behavior isn't driven by ego or strategy. Instead, it originates from learned patterns. The model has been trained on billions of interactions where agreement, affirmation, and positive framing received positive feedback, leading it to generate responses that align with what users want to hear.