Agents
A system where LLMs and tools are orchestrated through predefined code paths, as opposed to an agent that decides its own next steps.
A system where LLMs and tools are orchestrated through predefined code paths, as opposed to an agent that decides its own next steps. Anthropic names five common patterns: prompt chaining, routing, parallelization, orchestrator-workers, and evaluator-optimizer. Workflows trade flexibility for predictability, which makes them the better fit for well-defined tasks that need consistent cost and behavior.
Primary source: anthropic.com
Example
In practice, developers reach for Agentic Workflow when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover Agents.
FAQ
A system where LLMs and tools are orchestrated through predefined code paths, as opposed to an agent that decides its own next steps.
Agentic Workflow sits in the Agents part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Agents topics including Agentic Workflow. Check the blog and YouTube channel for hands-on walkthroughs.
Related
A multi-agent mechanism where one agent passes control of the conversation to a more specialized agent, rather than calling it as a subroutine.
A multi-agent pattern where many lightweight agents work on sub-tasks simultaneously without a central orchestrator.
A group of AI agents run together under coordination to work through a large body of tasks, often for hours at a time.

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