An AI Research Agent That Runs Your Experiments — Tim Sweeney, Weights & Biases

ARIA, an AI research and iteration agent, accelerates machine learning workflows by autonomously managing model training, hyperparameter tuning, and data analysis. Integrated directly into the Weights & Biases ecosystem, the agent utilizes a sandbox environment to execute shell calls and Python scripts while leveraging "Weave" for comprehensive observability and trace analysis. By employing LLM judges to monitor live production traffic, ARIA identifies behavioral nuances and performance bottlenecks that traditional metrics often overlook. Successful AI productionization requires treating agent tasks as unit tests, maintaining rigorous observability, and balancing automated evaluation with manual human review of conversation traces. This framework enables teams to iterate rapidly, promote high-performing models with confidence, and focus on architectural innovation rather than manual infrastructure management.