We hear it more and more: โUse LLM Evaluations to guide your AI project.โ And for a good reasonโmetrics are essential.
Yet, thereโs a trap nobody talks about...
Letโs say you have a chatbot and want to introduce metrics. You find tools that compute metrics like 'Helpfulness', 'Conciseness', and 'Completeness'.
Sounds greatโthey promise to optimise your userโs experience. Right?
Truth is, their correlation to real business value is often unclear. Is this really what your user cares about ? Will this increase adoption ?
Many teams end up measuring the wrong thing, thinking theyโre being data-driven, while forgetting about what really matters.
Metrics arenโt inherently good. Theyโre only as useful as the questions they help you answer.
If you donโt ask โWhat does success look like?โ or โWhat is the goal I want to measure?โ your metrics arenโt leading youโtheyโre misleading you.
So, the next time you set metrics, ask yourself: Are you measuring what impacts your business goalsโor just whatโs easy to quantify?
The difference might explain why your AI project feels stuck.
Because chasing the wrong metrics isnโt progress. Itโs running in circlesโlike a headless chicken.
Top comments (4)
I agree Louis there is a lot of fake hype created in the market around LLM evals, but parallely there are tools that are doing really good. For example, I learned about this tool called Maxim AI through this blog on LLM hallucination detection. This blog led me exploring their tool, and my agentic workflows have become so streamlined that while working, I can really 'enjoy' my coffee now instead of drinking it just as a stress-buster lol ;)
Interesting! On my side I use Braintrust.dev and Langfuse for monitoring/eval, it looks like Maxim AI covers more or less the same space, I'll check it out to see exactly what they offer.
You said you are building agentic workflows, may I ask the scope of the project and if you are facing some limitations/blocking issues ?
I'm not specialised on agentic solutions, and I see many struggling to deliver value so I'm always curious to learn a little more about how people approach it :)
Oh, nice to know you're using Brainstrust. So actually I was building a movie booking agent and faced the issue of simulating multi-turn conversations, but on Maxim I was able to access their agentic simulation feature and it's wonderful. I'd recommend you to give a shot to Maxim AI!
Love it!