given a checkpoint, a storage limit, and a time budget, agents construct compressed weights plus inference code, guided by perplexity feedback and checked by independent verification. 29 of 36 submissions passed verification; the best design per task averaged only a 3.4% perplexity increase over BF16 at 77.33% downstream accuracy versus 79.56% uncompressed — and generation/inference tests exposed failures that likelihood scores alone missed.