> For the complete documentation index, see [llms.txt](https://helpdocumentation.gitbook.io/user-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://helpdocumentation.gitbook.io/user-documentation/ai-dashboard/access-ai-dashboard-to-create-ai-agents.md).

# Access AI Dashboard to Create AI Agents

### Step 1: Go to the AI Dashboard

* Locate the "AI dashboard" option in your interface and click on the "Go to AI dashboard" button.​

### Step 2: Handle Token Errors

* If you encounter a "token is not valid" error, go to "workspace" and then "account settings".​
* Set your phone number and WhatsApp number in the account settings page.​

### Step 3: Return to Dashboard

* Once your phone and WhatsApp numbers are set, return to the AI dashboard by selecting it again.​

### Step 4: Use AI Agents

* You can now access the AI agents page where you can interact with agents trained on your documents or files.​

### Step 5: Monitor Credit Consumption

* Sending queries to AI agents, whether via the playground or bot, will consume AI credits.​
* Charges for credits are deducted from your user coin wallet balance.​

### Step 6: Ensure Sufficient Credits

* Without a sufficient balance in your user coin wallet, AI agents in the dashboard will not function or reply.​
* For credit pricing (e.g., how much 10,000 credits cost), contact your platform’s support team.​

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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://helpdocumentation.gitbook.io/user-documentation/ai-dashboard/access-ai-dashboard-to-create-ai-agents.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
