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LLMs excel at individual tasks. But most valuable work isn’t a single task, it’s a coordinated process. Writing a research report, reviewing a large codebase, or evaluating conflicting evidence requires multiple stages of analysis, validation, and synthesis without losing rigor along the way.
In this episode, we explore Claude Dynamic Workflows, the multi-agent orchestration framework Anthropic released on May 28, 2026. Rather than forcing everything through a single conversation, Claude generates a JavaScript workflow that defines the phases of work, determines what can run in parallel, and routes information between stages.
You’ll learn:
Where dynamic workflows fit on the coordination ladder: why single agents often struggle with laziness, self-preferential reasoning, and goal drift, and when a workflow outperforms a skill, a subagent, or a full agent team.
What happens under the hood: how Claude transforms a prompt into an inspectable execution script, how isolated agents fan out to investigate different aspects of a problem, and how six recurring workflow patterns power most real-world use cases.
What a real workflow looks like in practice: through the example of a deep-research workflow on developer productivity, we'll see how Claude spawned 27 agents, spent roughly $5, and used an independent verification phase to explain a genuine conflict in the literature instead of averaging it away.
If you’d rather read than listen, the full article (with diagrams, code examples, and implementation details) is available on Substack:
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