# Prompt templates & presets Getting consistent, high-quality responses from an AI model depends largely on how you frame your requests. Prompt templates and presets are the tools within GLBNXT Workspace that help you and your team work more efficiently by saving, reusing, and standardising the prompts that work best for your specific tasks and workflows. *** ### What is a Prompt Template A prompt template is a saved piece of text that can be inserted into the chat input with a single action, rather than typed from scratch each time. Templates are useful for any prompt you find yourself writing repeatedly, whether that is a standard instruction format, a structured request for a specific type of output, or a detailed set of guidelines you want the AI to follow for a particular task. For example, a legal team might save a template for contract review that includes specific instructions on what to look for and how to format the output. A communications team might save a template for drafting press releases that includes tone guidelines and structural requirements. Once saved, these templates can be called up in seconds, ensuring consistency across every use. *** ### What is a Model Preset A model preset goes a step further than a prompt template. A preset combines a saved prompt or set of instructions with a specific model selection and model parameter configuration, such as response length, creativity level, or output format. When you load a preset, it sets up the entire chat environment to a predefined state, ready for a specific type of task. Presets are particularly useful when different tasks in your workflow require different model configurations. Rather than manually selecting the right model and adjusting parameters each time, you can switch between presets with a single action and be immediately set up for the task at hand. *** ### Creating and Saving Templates Templates are created directly within the chat interface. When you have crafted a prompt that produces reliable, high-quality results, you can save it as a template by giving it a name and optionally adding a description that helps you or your colleagues understand what it is for. Saved templates are stored in your account and accessible from within the chat input bar. Most interfaces allow you to trigger your template library by typing a specific character, such as a forward slash, which opens a searchable list of your saved templates. Selecting one inserts it directly into the input field, where you can edit it before sending if the task requires any adjustment. *** ### System Prompts A system prompt is a special type of instruction that is sent to the AI before the conversation begins, setting the context, tone, role, or rules that should govern its behaviour throughout the entire thread. System prompts are invisible to the end user in the sense that they do not appear as a visible message in the conversation, but they actively shape every response the AI produces. Common uses for system prompts include instructing the AI to respond as a domain expert in a specific field, to always format its output in a particular way, to only answer questions relevant to a specific topic, or to maintain a specific communication style throughout the conversation. System prompts can be configured at the model or assistant level by administrators, or set manually by users at the start of a conversation, depending on the permissions defined by your administrator. *** ### Sharing Templates Across Your Team Templates and presets can be shared with colleagues, allowing your organisation to build a shared library of prompts that reflect best practices for your specific workflows, industry, and use cases. This is particularly valuable for teams that rely on consistent AI-assisted outputs, such as legal, compliance, or communications teams where quality and format consistency matter. Shared templates ensure that everyone on the team is working from the same starting point, reducing the time spent crafting prompts individually and improving the overall quality and consistency of AI-assisted work across the organisation. Sharing permissions are controlled by your administrator through the role-based access control layer. *** ### Tips for Effective Prompt Templates Well-designed prompt templates consistently produce better results. A few principles that make templates more effective: **Be specific about the output format.** If you want the AI to respond with a structured list, a table, a summary of a specific length, or a document in a particular style, say so explicitly in the template. Vague instructions produce variable results. **Define the role or context.** Starting a template with a brief context statement, such as "You are a compliance specialist reviewing documents for GDPR alignment", gives the model a clear frame of reference that improves the relevance and quality of its responses. **Include examples where helpful.** For complex or nuanced tasks, including a short example of the kind of output you expect helps the model calibrate its response accurately. **Keep templates focused.** A template designed to do one thing well will outperform a template that tries to cover multiple different tasks. If you have several distinct workflows, create a separate template for each. **Iterate and refine.** The best templates are built through experience. Start with a working version, use it across real tasks, note where the output falls short, and refine the template accordingly over time. --- # 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/workspace/ai-chat-and-models/prompt-templates-and-presets.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.