AI RESEARCH

Prompt Compression in Production Task Orchestration: A Pre-Registered Randomized Trial

arXiv CS.CL

ArXi:2603.23525v1 Announce Type: new The economics of prompt compression depend not only on reducing input tokens but on how compression changes output length, which is typically priced several times higher. We evaluate this in a pre-registered six-arm randomized controlled trial of prompt compression on production multi-agent task-orchestration, analyzing 358 successful Claude Sonnet 4.5 runs (59-61 per arm) drawn from a randomized corpus of 1,199 real orchestration instructions.