A dynamic workflow in Claude Code runs up to sixteen subagents at once and a thousand across a job. That power is wasted on most tasks. This is the decision I use before reaching for one: when a single agent wins, when a dynamic workflow earns its cost, and when the answer is to not automate at all.
Dynamic workflows in Claude Code run tens to hundreds of subagents that check each other before anything reaches you. The parallelism is not the interesting part. The verification is. Here is how I am using one to re-verify 250 posts on this site, and when it earns its cost.
Multi-agent AI systems promise specialized intelligence but deliver exponential complexity. Salesforce research shows agents achieve only 58 percent success on single tasks and adding orchestration doubles the failure rate. Most mid-size companies need one capable agent, not coordinated swarms.