~10 questions, branched by your stack and scale. A specific score for each category that applies to you — plus your two weakest areas and what to fix first.
◌ what we measure
—only the categories that apply to your architecture
How your stack survives upstream LLM failures — the #1 outage cause in 2026.
Whether you can detect a regression before users do — or only after.
RAG is only as good as what it retrieves — and most teams never measure this.
LLM bills doubled to $8.4B in a year. Most teams discover their burn at month-end.
Multi-step agents fail up to 75% of the time on simple tasks without proper state design.
Generic SRE runbooks miss every AI-specific failure mode. You need new ones.
"95% of AI pilots fail to deliver measurable returns. The 5% that ship have one thing in common — they treat it as production engineering, not prompt engineering."
— mit study, august 2025