Deployment

Agent deployment
Publish and deploy your agent

Once your agent is configured, deploy it in 3 steps: customize appearance, publish, and embed.

Step 1: Appearance

Customize how the chat widget looks:

SettingOptionsDescription
AvatarCustom image URLThe agent's profile picture in the chat
Chat colorPresets + custom pickerPrimary color for the chat UI
FontSystem UI, Oswald, Poppins, Georgia, MonospaceFont family for the chat text
Audio inputOn/OffAllow users to speak instead of type
File attachmentsOn/OffAllow users to upload files in the chat
Powered By badgeOn/OffShow/hide TinyCommand branding (plan-gated)

Step 2: Publish

Click Publish to make your agent live. This generates a unique public URL where anyone can interact with your agent.

After making changes to your agent's identity, capabilities, or brain settings, click Republish to push the updates live.

Step 3: Embed

Choose an embed mode and copy the generated code:

6 embed modes

ModeDescriptionBest for
InlineRenders directly in the page contentDocumentation helpers, in-page assistants
Full PageTakes over the entire browser pageStandalone AI chat applications
PopupButton click opens a modal chat windowLead capture, contextual help
Corner ButtonFloating button in the bottom cornerCustomer support (most popular)
FloatingFloating chat bubble that expandsSubtle, non-intrusive assistance
SidebarCollapsible panel on the sidePersistent AI companion

Embedding code

Each mode generates a <script> tag:

<script src="https://agents.tinycommand.com/embed/YOUR_AGENT_ID.js"></script>

Paste this into the <body> of any HTML page. The chat widget loads automatically.

Customizing the embed

For button-triggered modes (Popup, Corner Button, Floating, Sidebar):

SettingWhat it controls
Button textLabel on the trigger button
Button colorBackground color of the button
Button positionWhich corner/edge the button appears
Button sizeDimensions of the trigger element

Testing your deployed agent

After publishing:

  1. Open the public URL to test the chat experience
  2. Try your conversation starters
  3. Test edge cases: questions outside the agent's scope
  4. Check the Activity tab to see the full conversation log
  5. Adjust identity, capabilities, or brain settings as needed
  6. Republish after changes

Connecting deployed agents to workflows

Deployed agents can trigger workflows when specific events occur:

  • User starts a conversation
  • Agent uses a custom tool (which calls a workflow)
  • Agent completes a task

This creates a loop: users interact with the agent → agent triggers workflows → workflows take actions in external systems.

Warning

Every chat interaction consumes credits based on the model tier selected in the Brain tab. Monitor usage in Credit Usage to avoid unexpected charges.

Tip

Start with Corner Button mode for customer support use cases; it's the industry standard. Users see a small chat icon in the corner and click it when they need help.