Agentic Workflow

An agentic workflow is a way for AI to get work done not by answering in a single response, but by splitting the job into stages and moving through them one at a time. Think of a single chef who handles everything from prepping ingredients to cooking to plating, in order, on their own. If something goes wrong during prep, the chef goes back to fix that step before moving on.

This contrasts with a single neural network that spits out a complete answer the moment it receives a question. For example, in a task like generating a 3D world from a line of text, the process might be split into stages: laying out the terrain first, then placing buildings and trees on top, then applying surface textures. It works like an assembly line, where each stage takes what the previous stage produced and hands it off to the next.

Breaking a task into stages like this makes it easier to change direction midway or redo just one part. On the other hand, the more stages there are, the more the overall quality depends on whether the process holds together smoothly from start to finish without errors creeping in along the way.

The term shows up in articles in two ways. One is in coding model announcements, where it appears as a performance metric, as in "debugging accuracy, agentic workflow stability, web development output, and reasoning accuracy all improved together" — referring to how reliably a model can carry a multi-step task through to completion. The other is from Tencent's introduction of its 3D world generation tool, where the team called their output an "agentic workflow" rather than a "model." This phrasing was meant to emphasize that a single neural network doesn't produce the result in one go; instead, it works through a sequence of steps like laying out terrain, placing buildings, and assigning materials. Contrary to a common misconception, "agentic workflow" isn't the name of a specific product — it refers to the very approach of breaking a task into multiple sequential steps.

You can try asking a chatbot to break a task into stages like this:

"Don't answer this all at once. Break it into Step 1: make a plan, Step 2: research, Step 3: draft, and Step 4: review and revise, showing me the result of each step as you go."

Compare this to getting a single all-at-once answer, and notice whether it's easier to change direction partway through — that's the feel of an agentic workflow.