Claw and Order: Why AI Agents Need a Precision Budget
Opening — Why this matters now AI agents are leaving the demo cage. They are no longer just politely completing prompts; they are planning workflows, calling tools, reading files, coordinating intermediate steps, and accumulating context like a bureaucrat hoarding PDFs. This is useful. It is also expensive. The paper “QuantClaw: Precision Where It Matters for OpenClaw” studies a problem that sounds technical but is really managerial: agent systems often run every task at a fixed numerical precision, even though not every task deserves the same computational budget.1 A safety-critical terminal command and a lightweight retrieval summary are not the same species of work. Treating them identically is the infrastructure equivalent of sending a limousine to deliver printer paper. ...