The Cost of Always-On Agents is Less Than You Might Think

Always-on AI agents don't necessarily lead to spiraling costs. The key insight is shifting from measuring cost-per-token to cost-per-completed-task. Benchmarks like PinchBench show capable models completing full agent tasks for $0.03–$0.50, with success rates clustering between 65–85% despite large price differences. Using a hosted multi-agent system like KiloClaw, $10 can yield 20–150+ task executions versus 2–4 with manual prompting, thanks to sub-agents, cached context, and auto model routing that can cut costs 5–10x further. The broader shift described is toward 'agentic engineering,' where developers become orchestrators supervising persistent cloud agents rather than manually triggering every step.