Not long ago, our team needed an old company logo in a format suitable for large-scale printing, but all we had was a tiny, blurry raster image that turned into pixelated blocks whenever we zoomed in. Normally, that meant hours of a graphic designer manually retracing curves line by line. Instead, we handed it to an AI agent—a program that does not merely chat, but executes work—and within minutes the logo stood before us: crisp, mathematically sharp, and scalable to the size of a billboard without losing a single detail.
That logo was not an anomaly. More and more of our daily output—documents, spreadsheets, presentations, and engineering drawings—now gets produced without our ever opening the software suites traditionally used to create them.
Yet something about this feels paradoxical. Large language models were trained on text and built to generate text, one word at a time. How can a text machine draw a geometric logo, construct a financial spreadsheet with live formulas, or draft an architectural floor plan?
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