An agentic workflow is what most teams actually build when they say "we're building an agent": a graph or pipeline where one or more LLM-driven steps decide what happens next, often calling tools or other agents in between.
In practice these look like state machines with LLM-controlled transitions. Frameworks like LangGraph and PydanticAI exist to make these explicit. The two failure modes to plan for from day one: infinite loops (cap iterations) and silent drift (log every state transition with the inputs and outputs that produced it).
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Knowing the term is one thing. Shipping it is another.
We do two-week AI Sprints — one term, one workflow, into production by Day 10.