How AI Engineers Actually Use Datasets: Test...

Most AI agent discussions focus on models. In practice, the model is rarely the problem. When you build an agent today you are almost certainly not training it. The model is fixed. What determines whether the agent actually works is everything around it: the tools it can call, the prompts that guide it, the logic that decides what it does next. So when people say "we need more data," they usually do not mean training. They mean better test cases, clearer failure scenarios, and a way to measure w