LabPilot started as a personal habit before it was anything else: a running notebook for keeping track of AI-assisted experiments that seemed promising until someone, usually me, tried to reproduce them a week later and got a different answer.
That gap, between what happened once and what happens reliably, is the entire subject here. Not because reproducibility is a fashionable word in research circles, but because it is the difference between a tool you can actually build on and one that just happens to look convincing in a screen recording.
This site is not selling a platform or a framework. It is a place to think carefully, in public, about running AI-assisted experiments the way a careful researcher would: with a record of what was actually done, a clear line between exploring an idea and confirming it, and enough honesty about failed runs that the successful ones mean something.
If you work with AI tools in a research capacity, whether that is a formal lab, a data team, or a solo project that matters to you, the notes here are written for someone doing that work seriously and wanting the results to hold up once someone else looks closely.