Agent Evals: Finally, With The Map
Feb 22, 2025 · 13:31
Ari Helczak from Rootsignals presents a systematic map for AI agent evaluation, dividing it into semantic and behavioral parts. Semantic evaluation covers single-turn virtues like coherence and safety, plus multi-turn aspects such as conversation consistency and reasoning traces. Behavioral evaluation addresses tool selection, instruction following, and multi-step goal convergence. Helczak grounds truthfulness in RAG and goal achievement in tool utility, and introduces eval-ops as a double-tier approach to optimize both the agent and its judgment flow. He also highlights cost, latency, tracing, and offline versus online testing as practical considerations, noting the map will quickly become obsolete as the field evolves.
