Could we use algorithms to help solve our next bottleneck? As LLMs become multi-step agents baked with tools and varying degrees of complexity improving how context is handled from cost, latency to accuracy becomes a compounding problem: shaping what agents see, remember, and do across tools, memory, and retrieval while continuously improving the underlying ai application without manual prompt surgery.