Beyond benchmarks: The 5 pillars of AI evaluation systems

As AI agents move from demos into production, teams are discovering that benchmark scores alone rarely translate into business value. Routinely, a new frontier model is released, climbs to the top of the benchmark leaderboards, and enters production, but business metrics and code velocity remain flat. We present 5 principles for evaluating agents beyond standard model benchmarks.A new software era requires a new notion of correctnessOur definition of what makes software "correct" must change as we enter the era of…

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