The AI model landscape never stops moving, and the software stack that runs those models is always a step behind: even on a mature compilation stack, a new model family often arrives with some novel module that doesn’t lower well, and on new hardware – where a young stack meets a whole ecosystem at once – the gap is far wider. Extending stack enablement to each new family has traditionally been slow, specialist work that delays deployment. In this blog we show how AI agents can facilitate day-one enablement for a new model or for entire ecosystems, by bridging between the model workflows and the compilation stack. We demonstrate this at the harder end of that spectrum: through a small number of AI-written adapters, we run stock HuggingFace Transformers models on IBM’s Spyre AI accelerator, achieving full enablement for thousands of models.