The lab notebook
Better questions.
More useful answers.
Guides and notes on doing careful research with your personal AI lab group.
A better investigation starts with a smaller question.
How to turn “analyze my data” into a useful first conversation with your AI lab group.
A model score is only as useful as its split.
Why the boundary between training and test data belongs in the research question.
Keep the evidence close to the answer.
A practical habit for reviewing AI-assisted research and preserving what comes next.