Build and test worker agents in isolation first, then build the orchestrator on top

Digital Applied·high signal

Princeton NLP found a single agent matched or beat multi-agent systems on 64% of benchmarked tasks given the same tools and context, and 40% of multi-agent pilots fail within six months from picking the wrong pattern. The fix: build worker agents first, validate each in isolation, then add an orchestrator that controls them — constraint and predictability are features, not limitations.