Dynamic Workflows in Claude: Architecture, Costs, and When to Use Them

Short summary

Dynamic workflows move planning logic into versioned code using agent/parallel/pipeline primitives, with concrete limits (16 concurrent agents, 1,000 per run) and real token costs. The video covers an implement–verify–fix loop pattern with test-driven validation and a decision tree for choosing workflows over single agents. A live Claude Code demo shows applying workflows to model migration with measurable improvements.

• •Dynamic workflows shift plan control into versionable script code with hard limits (16 concurrent agents, 1,000 per run)
• •Real token costs can be severe (2B-token example); implement–verify–fix loop with strong tests required to validate improvements
• •Decision tree plus live Claude Code migration demo shows practical patterns for when workflows outperform single-agent or sub-agent setups

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