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A blog post from Parlance Labs tests automated AI evaluation tools (Braintrust Loop, Arize Alyx, LangSmith Engine) on real production data, finding they catch 87% of issues humans flag but miss domain-specific failures and add noise, recommending iterative human-in-the-loop use.
Agent Judge is an agentic evaluation harness that overcomes the limitations of simple LLM judges for long-horizon agents by handling long trajectories, verifying stateful actions against source-of-truth systems, and adapting to changing behavior.
A paper on building cutting-edge agents using automated prompt optimization and evaluations has been accepted to KDD 2026.