The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI

Excerpt

arXiv:2607.06906v2 Announce Type: replace Abstract: Agentic AI development today runs on token maxing: buying capability with tokens -- longer reasoning traces, more turns, wider tool payloads, bigger replayed contexts -- so tokens per task grow faster than task value. Falling per-token prices mask the pattern; total spend rises anyway. We argue the decisive lever against token maxing is the harness: the orchestration layer that assembles context, exposes tools, sequences turns, delegates work,