> For the complete documentation index, see [llms.txt](https://help.botpenguin.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.botpenguin.com/ai-agents/creating-ai-agents-in-botpenguin/setting-up-your-ai-agent.md). # Setting Up Your AI Agent ### **Agent Personality & Instructions** **Agent Personality & Instructions** is where you configure the core identity and behavioral framework of your AI Agent. It includes four powerful sub-sections that work together to define how your agent thinks, speaks, and understands user input. {% embed url="" %} *** ### Why is it beneficial? * **Brand Alignment**: Ensures tone, language, and personality match your business identity * **Behavior Control**: Allows fine-tuning of how the agent acts and reacts * **Data Intelligence**: Empowers the agent to understand and extract meaningful data in real time
*** ### What’s inside? Here are the four key components you’ll configure: 1. **Basic Configuration**\ Set the agent’s name, appearance, greeting, theme colors, fonts, and initial ice-breaker prompts. 2. **Prompt Style**\ Define your agent’s purpose and logic using core instructions and conversation flow directives. 3. **Communication Style**\ Adjust the tone, response length, language, formatting, and point-of-view of the agent’s replies. 4. **Meta Data**\ Choose which attributes the agent should detect and extract during user interactions for automation, filtering, or analytics.
*** ### Need Help? If you’re unsure how to structure your agent’s personality or notice unexpected behaviors, reach out to [**support@botpenguin.com**](mailto:support@botpenguin.com). Our team will assist you within 48 business hours. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://help.botpenguin.com/ai-agents/creating-ai-agents-in-botpenguin/setting-up-your-ai-agent.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.