bougia AI deploys AI systems inside real operations. That work keeps producing questions that no vendor page or benchmark answers: how to evaluate a system on a company's own cases, where human judgment has to stay in the loop, when a smaller model is the honest choice. The Lab is where we take those questions seriously.
What will appear here
Each research note is the write-up of one experiment: the question it started from, the smallest setup that could answer it, what we measured, and what we would do differently. Notes are short and concrete, written so that a careful reader could check the reasoning, not just admire the conclusion.
We will also publish results that did not work. A failed experiment written down fails once; a failed experiment kept quiet gets repeated by someone else.
The standard
Before a note is published, it has to clear three bars:
- It starts from a real question. Every note traces back to something we ran into in deployment work, not a trend we wanted to be seen near.
- The evidence is inspectable. Claims come with the setup and the measurements that produced them.
- The limits are stated. Where the result stops holding is part of the result.
Early work stays private until it clears those bars. When it does, it appears here.