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Trace Data Fuels Robust Evaluations For Production AI Agents

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Trace data is literally worth its weight in gold these days, if you know what to do with it! As has been established, creating effective agents requires shipping early, observing behavior, and iterating quickly. At the core of this are your agent traces capturing exact inputs, outputs, steps, and metadata along the way. Analyzing traces helps surface inefficiencies and areas for improvement, but they can also be used in more sophisticated ways to set up robust evaluations. Here's two of the ways we use traces to build evals for production agents 👇

2:18 PM · May 26, 2026 View on X
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