Model-Agnostic Design for Language Model Systems

optimizing for a single model right now is one of the worst bets you can make over the past 3 weeks i've been jumping from Claude to ChatGPT, then from Kimi to Minimax... and now finally back to Claude the model that's "best" is rotating every few weeks what if your system got BETTER every time a new model dropped, without you touching a single prompt? that's what we call model-agnostic design and this is what it looks like in practice: > your logic lives in the architecture, not the model > prompts are modular, not model-specific > swapping the model = changing one line, not rebuilding the stack