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TL;DR Agentic AI systems require evaluation beyond single-shot benchmarks. Use a three-layer framework: System Efficiency (latency, tokens, tool calls), Session-Level Outcomes (task success, trajectory quality), and Node-Level Precision (tool selection, step utility). Combine automated evaluators like LLM-as-a-Judge with human review. Operationalize evaluation from offline simulation to online production monitoring

TL;DR: Enterprise AI evaluation must cover three layers end to end: experiment, evaluate, and observe. Choose a platform that unifies offline evals, agent simulations, and online evals in production, and integrates with your observability stack. Priorities for 2025 include OpenTelemetry compatibility, human-in-the-loop pipelines, dataset curation from production logs, and