> ## Documentation Index > Fetch the complete documentation index at: https://docs.sigmamind.ai/llms.txt > Use this file to discover all available pages before exploring further. # Send Response Node The **Send Response** node allows the AI agent to send messages to the user during a conversation. It is the primary way an agent communicates information, asks questions, confirms actions, or provides updates. This node can generate either **static responses** or **AI-generated responses using prompts**, depending on how the node is configured. The **Send Response** node works across all supported channels, including voice calls, chat, and email. SigmaMind automatically delivers the response through the same channel where the conversation started. Response Node *** # Purpose The Send Response node is used to: * Send messages to customers during the conversation * Ask questions and collect information * Confirm actions or requests * Provide updates or instructions * Guide the conversation to the next step in the workflow It acts as the **main communication layer** between the AI agent and the user. *** # Response Types The Send Response node supports two response types. ## Static Response A **Static Response** sends a predefined message exactly as written. No AI model is used to generate or modify the message. The response is delivered exactly as configured. ### When to Use Static Response Use static responses when: * The message must always remain the same * You want consistent and predictable responses * The message contains fixed instructions or confirmations * No AI generation is required ### Example Thank you for contacting support.\ How can I assist you today? If used in a **voice call**, the message will be spoken by the AI.\ If used in **chat or email**, the message will be sent as text. *** ## Prompt Response A **Prompt Response** uses a Large Language Model (LLM) to generate a response based on the instructions provided in the prompt. Instead of sending a fixed message, the AI interprets the instructions and produces a **natural, conversational reply**. This allows responses to adapt dynamically based on the conversation context. ### When to Use Prompt Response Use prompt responses when: * The message should sound more natural or conversational * You want dynamic responses based on context * The response should include variables or collected information * The tone or wording may vary slightly *** # Writing Effective Prompts When using Prompt Response, write clear instructions that guide the AI on how to generate the message. A good prompt should define: * The purpose of the message * The tone and communication style * The information that should be included * Any variables that should appear in the response *** # Example Prompt You are a friendly and professional customer support assistant for SigmaMind AI. ```text theme={null} Your task is to confirm the customer's appointment details clearly and politely. Instructions: Thank the customer for scheduling the appointment. Confirm the appointment date using {{appointment_date}}. Confirm the appointment time using {{appointment_time}}. Address the customer by their name using {{customer_name}}. Ask if the customer needs any additional help. Tone Guidelines: Be polite and professional Keep the message short and clear Sound friendly and helpful Example Generated Response: Thank you {{customer_name}} for scheduling your appointment. Your appointment is confirmed for {{appointment_date}} at {{appointment_time}}. If you need to make any changes or require further assistance, please let me know. ``` *** # Using Variables in Responses Variables allow the agent to personalize responses using information collected earlier in the conversation. Variables must be written using double curly braces. Examples: ``` {{ customer_name }} {{ appointment_date }} {{ appointment_time }} {{ order_id }} ``` When the agent collects this information during the conversation, SigmaMind automatically replaces the variable with the actual value. Example output: Thank you Rahul. Your appointment is confirmed for March 15 at 3 PM. *** # Auto Response vs Draft The Send Response node allows you to control how the response is delivered. ## Auto Response When **Auto Response** is selected, the AI response is sent immediately to the user. This is the default behavior for most automated workflows. ## Draft When **Draft** is selected, the response is prepared but **not sent automatically**. This option is useful when: * Human agents need to review the response first * The system is integrated with a helpdesk * Manual approval is required before sending the message *** # Select Macro Macros allow you to use **predefined message templates** from your system or helpdesk integration. Instead of writing the message manually, you can select an existing macro and send it as a response. Macros can also be used as input for **Prompt Response**, allowing the AI to adapt the template based on conversation context. *** # Advanced Settings ## Switch Channel The **Switch Channel** option allows the agent to send a response through a different communication channel. Example: * A voice call is in progress * The AI sends an SMS with a booking confirmation link This enables **multi-channel communication within the same conversation flow**. *** ## Include Brand Persona When **Include Brand Persona** is enabled, SigmaMind applies your configured brand tone and communication style when generating AI responses. This ensures all AI responses follow your organization's brand voice, such as: * Professional * Friendly * Empathetic * Sales-oriented The LLM combines your prompt instructions with the brand persona settings to generate consistent responses. *** # Function Calls from Send Response Node The Send Response node can also trigger **function calls or actions** during a conversation. This allows the agent to perform real actions such as: * Transferring a call * Ending a call * Extracting variables * Interacting with external applications Function calls can be added directly within the Send Response node configuration. For detailed configuration instructions, refer to the following documentation pages: * Voice Action * Extract Variables * Tool Action *** # Best Practices Follow these best practices when using the Send Response node: * Keep responses clear and concise * Use prompt responses for natural conversational replies * Use static responses for fixed messages or confirmations * Use variables to personalize responses * Avoid including internal system instructions in prompts * Ensure prompts clearly define tone and purpose * Use function calls only when the conversation requires an action *** # Summary The **Send Response** node enables the AI agent to communicate with users across all supported channels. It supports: * Static responses for fixed messaging * Prompt responses for AI-generated replies * Dynamic variables for personalization * Multi-channel communication * Integration with macros and brand persona * Triggering function calls and actions This node is a core component of conversational flows and is used to guide and manage interactions between the AI agent and the user.