Fancy models won’t help if you don’t know why your system fails.
Before improving prompts or tuning agents, measure, analyze, and iterate. That’s where real progress happens.
Andrew Ng recently pointed out that the strongest predictor of whether an AI project will succeed is the team’s ability to run disciplined evaluations and error analysis.
