Agents as Infrastructure: The Case for Quiet, Ambient AI

Today's AI agents are designed to be conversational, creating high cognitive overhead through constant explanation and negotiation. Rather than smarter prompts, the solution lies in embedding agents as quiet, ambient systems using proven design patterns like CLIs, declarative specs, and reconciliation loops. This paradigm shift could fundamentally transform how AI integrates into production software instead of existing as separate management layers.