# Building Agents ## #### Buidling Agents Agents are AI-powered assistants that can follow instructions, use tools, and complete tasks on behalf of your users. They go beyond simple chat interactions by combining a Large Language Model (LLM) with structured prompts, external data sources, and actions. In this section, you'll learn how to design, configure, and deploy agents on the GLBNXT platform. This tutorial covers choosing the right model, writing effective system prompts, connecting tools, and testing your agent before making it available to your team. --- # Agent Instructions: 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: ``` GET https://docs.glbnxt.com/tutorials/guides/building-agents.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.