Data for Agents Image: Nemotron Post-Training v3 Prompt Atlas More Than Model Weights Building AI agents is hard, because the real world does not behave like a benchmark. An agent that can't recover from a broken API call, or a workflow it has never seen, is not really an agent. It is an autocompleter with tools. Getting from one to the other is a data problem: software engineering traces, tool-us...