Customizing In-Progress Messages

With In-Progress Messages enabled, users see live progress updates as the AI Employee works -- showing exactly what it is doing in real time instead of a static "Processing your request..." placeholder.

You see updates like "Searching knowledge base...", "Generating response..." as each step of the workflow executes. The final answer replaces these updates once the workflow completes. This creates a faster, more transparent experience where users can see that their request is being actively handled.

Supported AI Employees

Currently supports only Chat SDK and MS Teams chat interfaces.

Customize Messages in Agent Configuration

You can set custom in-progress messages for any agent when configuring it within your workflow. This allows you to tailor the messages to match your specific use case, brand voice, or the context of what the agent is doing.

For example, instead of the generic "Searching the knowledge base," you might set a custom message like:

• "Looking through your HR policy documents"
• "Checking the product catalog for matching items"

How to Set a Custom Message

1. Open your AI Employee's workflow in the builder.
2. Select the agent you want to customize.
3. In the agent configuration panel, inside Advanced Settings, find the Message displayed during agent execution field.
4. Enter your custom message text.

Tips for Writing Effective Custom Messages

• Keep messages short and easy to scan -- one concise sentence works best.
• Write from the user's perspective -- describe what is happening for them, not technical internals.
• Be specific to your use case. "Reviewing your claim documents" is more helpful than "Processing data."
• Avoid jargon or internal terminology that end users would not recognize.

Benefits

Reduced Perceived Wait Time

You see continuous activity instead of staring at a loading spinner. Even if the actual processing time is the same, the experience feels significantly faster.

Transparency

You can see exactly what the AI Employee is doing -- searching documents, processing results, generating responses. This builds confidence that their request is being handled properly.