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Building Custom Benchmarks for Agentic Systems
Standard benchmarks optimize for comparability across models, not for the specific failure modes and decision architectures that matter in production agentic systems. This episode walks through the full lifecycle of building custom evaluations: decomposing your workload, defining failure taxonomies with domain experts, constructing rigorous test sets, evaluating trajectories (not just outputs), and tracking the metrics that actually matter—accuracy, cost, and reliability together. If you're shipping agentic AI, generic leaderboard scores are almost certainly misleading you. Episode 2249 —…
The skinny
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