Agentic Workflow
A multi-step pipeline where an AI agent plans, acts, observes, and iterates to complete a complex task.
Full Definition
An agentic workflow is a structured process in which an AI agent breaks down a complex goal into sub-tasks, selects and invokes appropriate tools for each sub-task, observes the results, and adapts its plan dynamically until the goal is achieved. Workflows may be single-agent (one model handling all roles) or multi-agent (specialised agents for research, writing, coding, and review collaborating through a shared message bus). The key characteristics are persistence (the agent maintains state across many steps), autonomy (it decides what to do next without human input), and feedback loops (results of actions inform subsequent planning). Agentic workflows are increasingly used to automate research, software development, data analysis, and content creation.
Examples
An agentic marketing workflow: research competitors → draft content brief → generate copy → fact-check → revise → publish — each step handled by specialised agent nodes.
AutoGen multi-agent system with a UserProxy, Coder, and Reviewer agent collaborating to write, test, and improve a Python script through message passing.
Apply this in your prompts
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