Evaluation is the process of making AI measurable and reliable. Instead of relying on subjective “vibe checks,” serious practitioners quantify AI performance through structured metrics. Accuracy, tone, coherence, factual grounding—all can be systematically evaluated.  

Modern evaluation often uses AI-as-a-judge, in which one model audits another. Human experts and external data sources can also serve as evaluators, cross-validating results to detect bias, hallucination, or drift.

At Theta Tech, evaluation is not an afterthought—it is the foundation. We design automated feedback loops where intelligence improves through evidence.