A Tool-Agnostic 3-Step Framework for Evaluating AI Agents in 2026
Al_Grigor · x · 2026-09-09
A practical, tool-agnostic framework for evaluating AI agents: (1) vibe-check and log everything, then hand-label 10-15 sessions as good/bad to build a v0 gold-standard dataset; (2) align an AI judge against your labels, iterate until agreement, codify rules in a judge.md, and test in a fresh session to get your first metric—the fraction of good results; (3) break the agent with QA techniques like equivalence partitioning and boundary testing—testing exact matches, paraphrases, ambiguous and off-topic queries for RAG agents.
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