> For the complete documentation index, see [llms.txt](https://academy.any2info.com/any2info-academy/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.any2info.com/any2info-academy/no-code-platform/ai-studio/create-agent/instructions.md). # Instructions The system instruction defines the role, behavior, and boundaries of the AI agent.\ Without a clear system instruction, an agent may behave unpredictably or produce inconsistent results. *** #### Guidelines for writing a good system instruction * Be explicit about what the agent **is allowed** and **not allowed** to do * Clearly describe the **role** of the agent (e.g. assistant, analyst, validator) * Define **input expectations**, where applicable * Avoid unnecessary verbosity * Do not include implementation details that belong in data flows *** A well-defined system instruction significantly improves the quality and consistency of the agent’s output. --- # 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: ``` GET https://academy.any2info.com/any2info-academy/no-code-platform/ai-studio/create-agent/instructions.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.