Glossary
LLMOps
The operations discipline that keeps AI systems dependable in production.
LLMOps covers the practices that make AI features production-grade: versioning of prompts and models, evaluation pipelines, monitoring of quality/cost/latency, guardrail management, and incident response for AI-specific failures (drift, hallucination patterns, provider outages). It is the difference between a demo that impresses and a system your business can run on.
Example from practice
When a provider updates a model, your evaluation suite runs automatically; quality holds or the change waits: that is LLMOps.
Evaluating what these mean for your business? See the services built on them or ask us directly.