AI Agent Management
Playground
The playground is where you iterate. Pick a model, edit the system prompt, watch the live widget on the right respond to whatever you type. No deploys required.
Layout
The playground splits the screen in two: the sidebar on the left holds every knob that affects how the agent answers; the right pane renders the live widget exactly as your users will see it on your site.
Sidebar changes hit the preview the moment you save — no rebuild, no training run.
Live preview
The right pane renders your agent inside the same widget shell users will see — your colours, avatar, suggested queries, post-response follow-ups. Type into the input and the agent responds with the model and prompt currently in the sidebar.
During a training run the preview shows a spinner overlay with Training in progress— you can keep editing the configuration; it just won’t accept new chats until training finishes.
- Resize the browser — the preview keeps the widget proportions, useful for sanity-checking responsive behaviour
- Suggested queries from the chat-interface settings show up here too
- The widget always uses the saved widget config — preview doesn't reflect unsaved chrome changes
Saving changes
Edits in the sidebar go into a dirty state. A footer slides up from the bottom of the sidebar with two buttons:
- Discard — reverts every field back to the last saved state.
- Save to agent— writes the changes and updates the live widget. Saving doesn’t trigger a retrain unless you also changed sources.
Compare two models
The Compare button on the Compare AI Models card opens the side-by-side view — two (or more) playground panels rendered next to each other. Each panel has its own model picker; the shared Sync toggle fans your prompt out to every panel at once so you can see how each model responds to the same input.
Detail in Models Comparison.
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