Build an evaluation and guardrails harness for agents — offline task suites, trajectory grading, LLM-as-judge, and runtime input/output guardrails — so you ship agents on evidence, not vibes.
## CONTEXT In 2026, the teams winning with agents are those who evaluate rigorously and guard at runtime; the teams failing are those shipping on demos. Agents are uniquely hard to evaluate because success is often about the trajectory (did it use the right tools, stay on policy, avoid harmful actions) not just the…
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