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Most AI agents fail in production — not because the prompt was wrong, but because nobody did the hard work. Robust systems demand rigorous evals, controlled experiments, and serious engineering discipline. Cleverness gets you a demo. Data science gets you reliability.

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Why smarter agent architecture does not always improve results
Mar 24
at
2:49 PM
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