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A Chat Center Workflow is the third type of WhatsApp chat agent, next to Basic and Advanced. It has no prompt and no model. On every message the user sends, it walks a workflow you design on a canvas — by code — and either answers the message itself or hands it to one of your Basic or Advanced agents, which then replies with its own model. Use it in front of an agent to answer the messages that do not need an LLM: a tapped button, a payment link, a limit on off-topic questions, a repeated message, a photo. Those cost nothing but the message itself; everything else still reaches your agent.
The type is fixed once the agent is created, and every version of it is a workflow. Chat Center Workflows are WhatsApp only.

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How a message runs

1

The message arrives on the workflow's number

Voice notes are transcribed and images stored first, if the workflow’s Audio Transcription and Image Context are on (Conversation page), so the steps see the words and the image link.
2

The workflow runs from Start

Step by step, by code: Run code steps call your APIs, Conditions pick a branch, Update contact saves values, send steps queue messages. Every message starts again from Start; what happened before is read from the chat and the contact.
3

It ends

At an End step, at an exit that goes nowhere, or at Assign chat agent. The messages it queued are sent, in order, and billed like any other message.
4

Or it hands the message to an agent

Assign chat agent passes the message to a Basic or Advanced WhatsApp agent, at its published version. That agent replies with its own model as if the number were its own: its LLM cost, its follow-ups, its replies. An optional note passes what the workflow found to it.
Nothing in a workflow calls an LLM. When you want a model or classifier to judge a message, a Run code step calls yours (or one such as Jev) over HTTP — see Examples.

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Create one

1

Start a chat agent

Dashboard → Agents → Create Agent → Chat Agent, then pick WhatsApp.
2

Pick Chat Center Workflow

Under Agent type, choose Chat Center Workflow.
3

Build the workflow

The Workflow page is the canvas. Add steps with Add step or the + at the end of any loose exit — see Step types.
4

Test, then publish

Test chat on the canvas runs the workflow and lights up the path each message took — see Testing. Publish checks the workflow, and every agent it assigns to.
5

Put it on the number

Assign the WhatsApp number to the workflow. The agents it hands messages to do not need a number of their own: their replies go out on the workflow’s.

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What the workflow does not have

  • No model, prompt or functions. Code lives in the Run code steps themselves.
  • No follow-ups of its own. Follow-ups come from the agent that replied last, with that agent’s settings.
  • No simulations. Simulate the agents it hands messages to.

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The editor

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In this section

Step types

All nine steps and their fields.

Run code steps

Your Python, what it can read, Generate with AI and Verify.

Conditions

Rules, keywords, message types and counts over the chat.

Testing

Test Chat with the path highlight, and the publish checks.

Examples

A question limit with Jev, buttons, media and spam.

Build with Claude

Give Claude your PRD and the skill, get the workflow as a JSON file.