In today's fast-paced AI landscape, businesses deploy sophisticated AI applications to gain competitive advantages. However, these advantages quickly diminish when AI systems produce inaccurate, inconsistent, or unreliable outputs. This is where AI application monitoring becomes essential - not just to observe performance but to actively improve it.
OpenAI’s Practical Guide to Building Agents outlines a visionary framework for LLM-driven agents. But following that guide from prototype to production isn’t easy. That’s where Empromptu comes in.
