As AI agents grow more capable, they also grow more demanding — fracturing single questions into cascades of model calls that overwhelm any one machine. NVIDIA's PAIR, released this week as open-source software, quietly reframes the problem: rather than asking users to buy more compute, it asks them to notice the compute already sitting idle across the room. In distributing inference requests across home networks without touching a line of existing agent code, PAIR places a small but meaningful bet that the next frontier of personal AI is not raw power, but coordination.