six frontier models, working alone or as teams, proposed 415 minimum-viable experiments from seven recent NLP papers; a separate executor ran every one, including the last-ranked. 194 proposals were judged sound, valuable and new, but the agents' first choices were not shown to beat simply running the experiment listed first, their outcome forecasts were no more accurate than a fresh instance of the same model given only the paper, and teams cost more without a clear overall improvement in proposal quality.