--- title: "AI Agents" slug: "ai-agents" status: "new" updated: 2025-10-07T07:11:23Z published: 2025-10-07T07:11:23Z canonical: "support.tulip.co/ai-agents" --- > ## Documentation Index > Fetch the complete documentation index at: https://support.tulip.co/llms.txt > Use this file to discover all available pages before exploring further. # AI Agents :::(Info) (Who can use this feature?) This feature is available to users with the necessary permissions to create, configure, or use AI Agents in your Tulip instance. If you do not see the AI Agents option, contact your Tulip administrator. ::: ## Overview The **Tulip AI Agent** is a digital assistant designed to help users interact with and apply knowledge from the Tulip platform. By executing well-defined tasks, such as **retrieving information**, **analyzing data**, **generating summaries**, or **guiding workflows**. Each AI Agent delivers accurate, actionable results using only official Tulip content and connected data sources. --- ## Scope This article describes the function of **Tulip AI Agents**, explains their operational logic, outlines required technical knowledge, and presents foundational setup steps. --- ## How AI Agents Work Tulip AI Agents work based on well-defined prompts - sets of instructions that determine the AI’s identity, responsibilities, and response format. Think of a prompt as the AI Agent’s job description. The more specific and structured the prompt, the more helpful and reliable the agent’s output will be. AI Agents process only the data sources and workflows you connect in Tulip. For best results, ensure your **Tulip Tables**, **triggers**, and **automations** are set up before deploying an agent. Once you connect your data sources, your AI Agent automatically **analyzes**, **summarizes**, and **reports** on your manufacturing data, following your requirements and constraints precisely. ![Screen Recording 2025-10-02 at 14.58.49.gif](https://cdn.document360.io/7c6ff534-cad3-4fc8-9583-912c4016362f/Images/Documentation/Screen%20Recording%202025-10-02%20at%2014.58.49.gif){height="" width=""} --- ## Prerequisites Before setting up an AI Agent, you should be comfortable with: - **Tulip Tables** and data relationships - Your facility's **station names** and **production workflows** - OEE - Cycle time - Quality metrics - Configuring **Tulip Automations** and **AI Actions** ## Components of an AI Agent Each Tulip AI Agent is defined by two main configuration sections, along with a separate list of tools: ![Screenshot 2025-10-02 at 14.34.47.png](https://cdn.document360.io/7c6ff534-cad3-4fc8-9583-912c4016362f/Images/Documentation/Screenshot%202025-10-02%20at%2014.34.47%281%29.png){height="" width=""} --- ### Prompt Structure A well-constructed prompt is essential for an effective AI Agent. Prompts typically include these components: --- #### 1. Goal **Clearly defines the purpose and intended responsibilities of the AI Agent.** This is a concise statement that sets expectations for what the agent should do and the value it will provide. ``` Example: Summarize the main production line bottlenecks and suggest actions for tonight’s shift leader. ``` #### 2. Instructions **Detailed guidance for the agent on how to perform its work.** Instructions may include any or all of the following (as needed): **Task:** What action the agent should perform **Inputs:** What data or context the agent should use **Outputs:** Expected format and content of the agent’s responses **Constraints:** Any special rules or boundaries **Capabilities and Reminders:** Specific abilities or operational notes for the agent. ``` Example: Task: Generate a shift summary highlighting major issues. Inputs: Latest Tulip Table data on production and downtime. Outputs: Summary (max 200 words), list of issues with recommended actions. Constraints: Only include issues affecting more than 10% of production. Capabilities: Can access real-time machine status. ``` :::(Info) (Note) The **Instructions** section can be as structured or detailed as needed for your specific agent. ::: --- ### Tips for Effective AI Prompts - **Be Specific:** Replace vague instructions with actionable, data-driven requests - **Use Examples:** Show the AI what good output looks like - **Set Thresholds:** Define what’s considered “significant” or “critical” to your operation - **Test Iteratively:** Continually refine your prompt based on the quality of actual outputs :::(Info) (Tip) Each AI Agent performs best with a clearly defined prompt and access to all relevant, connected data sources. ::: --- ### Tools Used by the Agents AI Agents in Tulip utilize a set of tools to access and process information across different use cases. These tools provide core functionality, enabling agents to interact effectively with platform resources and support a wide range of operational needs. --- #### **User Management Tools** Facilitate queries related to user accounts, roles, permissions, and user-related configurations. #### **Data Table Tools** Enable access to data within Tulip Tables, supporting actions such as querying, updating, or explaining structured data relevant to manufacturing operations. #### **Station Management Tools** Support the management, configuration, and monitoring of shop floor stations, allowing agents to assist with station-specific workflows and diagnostics. #### **Educational Tools** Support training and onboarding through knowledge articles, tutorials, and other learning resources available in the Tulip ecosystem. #### **Connector Functions** Allow agents to assist with integrating Tulip to external systems, APIs, or data sources, enabling automation and seamless information exchange. * * * ## Conversation Starters and Welcome Message In addition to **Goal**, **Instructions**, and **Tools**, **Tulip AI Agents** support customizable **Conversation Starters** and a personalized **Welcome Message**. #### Conversation Starters You can define a set of suggested messages that will appear at the beginning of a chat session with the agent. These help users quickly understand what kind of questions or tasks the agent can assist with. **Conversation starters can be edited or expanded at any time.** ![Screenshot 2025-10-02 at 14.45.33.png](https://cdn.document360.io/7c6ff534-cad3-4fc8-9583-912c4016362f/Images/Documentation/Screenshot%202025-10-02%20at%2014.45.33.png){height="" width=""} #### Welcome Message Each agent can display a custom welcome message that introduces the agent to users within the chat interface. You can personalize this text to make the agent friendlier or to clarify its main purpose. **Both options make it easier for end users to get started and know what to expect from the agent.** ![Screenshot 2025-10-02 at 14.46.08.png](https://cdn.document360.io/7c6ff534-cad3-4fc8-9583-912c4016362f/Images/Documentation/Screenshot%202025-10-02%20at%2014.46.08.png){height="" width=""} * * * ## Use Cases **Each AI Agent article includes detailed use cases to help you:** * Understand practical applications of the agent * Learn the value the agent delivers to different roles * Identify the primary user personas who benefit most * Discover what works well and what to avoid when using the agent **This overview article focuses on foundational concepts and capabilities. For specific examples and tailored guidance, please refer to the individual AI Agent articles.** ## What Happens Next? Once your AI Agent is configured with a clear prompt and connected to the necessary data sources, it will begin operating **automatically** or **on-demand**, depending on your setup. To ensure you're getting the most value from your agent: - Confirm all relevant **Tulip Tables**, **triggers**, and **automations** are active and accessible - Monitor the AI Agent's responses and **refine prompts** as needed to improve accuracy - Track how the agent's insights are integrated into your **workflows** or **reports** :::(Info) (Info) For detailed setup instructions, please refer to the documentation within the specific AI Agent's article. ::: --- ## Get Involved & Share Feedback Tulip AI Agents are continuously evolving - and your feedback plays a key role. - **Ask questions**, request features, and troubleshoot with peers - **Share your use cases** and learn from others in the community - Stay updated on new AI tools, prompt templates, and best practices 👉 Join the discussion in the [**Tulip Community**](https://community.tulip.co/). --- ## Further Reading & Resources Continue building your knowledge with these helpful resources: [**AI Prompt Action**](https://support.tulip.co/docs/ai-prompt-action) - Explore advanced prompt techniques and best practices [**Automations**](https://support.tulip.co/docs/automations) - Discover how to streamline workflows with powerful automation tools. [**Connectors**](https://support.tulip.co/docs/connectors) - Learn to integrate and connect various platforms effortlessly