Benchmarks are useful, but they do not tell you whether an agent will survive your workflow. Production evals need traces, tools, permissions, edge cases, and human review.
A practical guide to running agents in shadow mode so you can compare outputs, measure risk, and launch with fewer surprises.
Ship agentic systems with confidence by building an evaluation stack that blends benchmark suites, live telemetry, and human red teaming.
Build deterministic sandboxes, fuzz inputs, red-team scenarios, and pass/fail gates before agents ever touch production data.
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