> ## Documentation Index
> Fetch the complete documentation index at: https://knowledge.bitbybit.studio/llms.txt
> Use this file to discover all available pages before exploring further.

# Test your AI agent in the Playground

> Use the AI Playground inside AI Agent Studio to simulate customer conversations, test your agent's behavior, and personalize replies for a specific customer profile.

The **AI Playground** is the conversation simulator built into every agent edit screen in **AI Agent Studio**. Use it to sanity-check changes before they reach a real customer — type a question, watch how the agent replies, and see whether your latest brand information, personality, instructions, and skills produce the behavior you want.

## Prerequisites

* You already created an AI agent in **AI Studio**.
* You completed at least the basic identity setup for that agent.

## Where to find the Playground

* Open the agent you want to test in **AI Agent Studio**.
* On desktop, the **AI Playground** panel renders next to the editor on the right side of the screen.
* On mobile and narrow screens, switch from **Editor** to **Playground** using the tab at the top of the page.

The Playground header reads **AI Playground** with a small subtitle that includes a **select customer profile** link.

## Step 1: Send a test message

* Type a message in the Playground input as if you were a customer (for example, "Do you have this bag in black?" or "Recommend a shoe for running.").
* Confirm the agent's reply matches the identity, instructions, and skills you configured.
* Send several follow-up messages to walk through a realistic conversation, not just one turn.

<Tip>
  Test the common golden paths first (product question, order tracking, FAQ) and then try edge cases (out-of-stock items, unsupported topics, intentionally vague questions). Issues usually show up at the boundaries, not in the happy path.
</Tip>

## Step 2: Personalize with a customer profile

The Playground can simulate a real contact so you can test how the agent personalizes replies.

* Click **select customer profile** in the Playground header.
* Pick a saved contact from your workspace.
* The agent will now treat that contact's saved data (name, language, fields you collect) as if it were a live conversation.
* To go back to a generic simulation, click **Reset customer profile**.

## Step 3: Reset the conversation between tests

* Click **Reset conversation** in the Playground header to clear the message history and start a fresh ticket.
* A reset clears the Playground state on both the front-end and the backend, so each test starts from the same point.

## What the Playground does and doesn't reflect

* The Playground uses the **currently saved** identity, instructions, and skills for the agent. If you change a setting without saving, the Playground will not pick it up until you save.
* Skill behavior (Create order, Order tracking, Product recommendation, Knowledge Base lookups, and similar) is exercised end-to-end, so tool calls hit real systems where they're configured.
* The Playground is the right place to catch behavior regressions before going live; it is **not** a substitute for monitoring real conversations once you launch.

## Related articles

* [Set up your AI agent in AI Studio](/ai-studio/how-to-setup-ai-agent-in-ai-studio)
* [Add and manage skills in AI Agent Studio](/ai-studio/how-to-setup-skillset-in-ai-studio)
* [Best practice to prompt your AI agent](/ai-studio/best-practice-to-prompt-your-ai-agent)
* [AI Agent Analytics](/ai-studio/ai-agent-analytics)