TryEval Blog
Insights on AI quality
Guides, experiments, and playbooks on no-code AI evaluation — the quality loop, metrics, LLM-as-a-Judge, and shipping AI with confidence.
AI qualityLLM evaluation
Shipping AI Blind: How AI Quality Regresses Without Anyone Noticing
AI quality degrades silently: model updates, prompt edits and data drift move accuracy while uptime stays green. Why dashboards miss it, and what catches it.
AI evaluationAI quality
AI quality isn't an evaluation problem. It's an ownership problem.
54% of enterprises ship AI blind, and the teams that do evaluate still fail silently. Here's why production-grade AI quality is a cross-functional, no-code job.