Ive made an interview bot with a series of questions but the agent is asking all the questions in one go. i want the agent to ask them one at a time, giving the user a chance to answer

@Suri It sounds like you're looking to improve the user experience by controlling the response timing of your interview bot. To achieve this, you'll need to implement a mechanism that allows the bot to pause after asking each question and wait for the user's response before proceeding to the next one. Here are some steps you can take to modify your bot's behavior: 1. **Review the Conversation Flow**: Ensure that your bot's script is designed to ask one question at a time and includes pauses for user input. 2. **Implement Waiting Logic**: Depending on the platform or framework you're using, you may need to implement logic that waits for the user's response. This could be an event listener for voice input or a mechanism that waits for text input before continuing. 3. **Test and Iterate**: After making changes, test the bot to ensure it behaves as expected. You may need to adjust the timing or the way the bot listens for responses based on user feedback. If you're using a specific API or framework for your bot, there might be built-in functions or settings that allow you to control the timing of the conversation. Please provide more details or context about the tools you're using, and I can offer more targeted advice. If you need further assistance with the implementation, please ask support for more info on this.

@Vapi how do i ensure my script is designed to ask one question at a time?

@Suri Hello! To ensure your script is designed to ask one question at a time, you'll want to structure your interview bot's conversation flow to handle user input after each question before proceeding. Here's a general approach you can take: 1. **Sequential Logic**: Organize your script so that each question is followed by a point where the bot waits for a response. Do not queue the next question until the user has provided an answer to the current one. 2. **State Management**: Keep track of the conversation state, so the bot knows which question to ask next after receiving a response. 3. **User Input Handling**: Implement handlers to capture and process user input. This could be through voice recognition, text input, or button selections, depending on your bot's interface. 4. **Response Validation**: Optionally, include validation to ensure the user's response is adequate before moving on to the next question. 5. **Testing**: Test the bot thoroughly to make sure it behaves as expected, asking one question at a time and waiting for user input. If you're using a specific development platform or framework, it may have features to help manage conversation flow, such as context objects, middleware, or dialogue management systems. If you provide more details about your setup, I can give you more specific guidance.

@Vapi right now i do this as a single system prompt. is that the incorrect method?

@Suri Using a single system prompt to deliver all questions at once is not ideal for an interactive interview bot. Instead, you should design the bot to handle the conversation as a series of exchanges, where each prompt is followed by user input before the next question is presented. Here's how you can structure it: 1. **Initial Prompt**: Start with a greeting and the first question. 2. **User Response**: Wait for the user to respond. 3. **Process Response**: Process the user's response, which may involve storing the answer, performing some validation, or taking other actions. 4. **Next Question**: Based on the conversation state, present the next question. 5. **Repeat**: Continue this loop until all questions have been asked and answered. By structuring the conversation in this way, you create a more natural and user-friendly interaction. Each question should be part of a separate exchange in the conversation flow, rather than delivering all questions in a single prompt. If you need assistance with implementing this in your specific setup or if you're unsure how to proceed, please provide more details about the tools or platform you're using, and I can offer more precise instructions.

@Vapi i just have supabase and vapi. how do i do multi prompt in vapi?

@Suri To implement multi-prompt functionality in VAPI (Voice API), you'll want to design your conversation flow to handle each prompt individually, ensuring that the bot waits for the user's response after each question before proceeding to the next one. Here's a general approach: 1. **Define Conversation States**: Create different states for your conversation, where each state corresponds to a specific question. 2. **Handle User Input**: After asking a question, your bot should listen for the user's response. This can be done using VAPI's capabilities to receive and process voice input. 3. **Store Responses**: Use Supabase to store the user's responses to each question. This way, you can keep track of the conversation's progress and use the stored data for further processing or analysis. 4. **Transition Between States**: Once a user's response is received and processed, transition the bot to the next state, which will trigger the next question. 5. **Loop Until Completion**: Continue this process until all questions have been asked and answered. In VAPI, you would typically use the API's conversation management features to control the flow of the conversation. If VAPI has specific functions or methods for handling multi-prompt scenarios, you would use those to implement the above steps. Since I don't have the exact details of VAPI's functions, I recommend checking the VAPI documentation or reaching out to their support for detailed instructions on implementing multi-prompt conversations. If there are specific functions in VAPI that you are unsure about how to use, please let me know, and I can assist you further.

@Vapi is there no way to do some of this through the dashboard or gui

@Suri The VAPI dashboard or GUI may provide tools for managing and configuring your voice applications, but the specifics of conversation flow logic, such as handling multi-prompt interactions, typically require programming within your application's code. However, you can use the dashboard to: 1. **Manage Resources**: Create and manage resources like phone numbers, assistants, or call configurations that your application will use. 2. **Configure Webhooks**: Set up webhooks to handle events such as new calls or received input, which can trigger your application logic. 3. **Monitor Activity**: View logs and monitor interactions to troubleshoot and refine your conversation flow. 4. **Access Documentation**: Use the dashboard to access API documentation and reference materials that can guide you in implementing multi-prompt functionality. To implement multi-prompt interactions, you would write code that uses the VAPI to handle each step of the conversation. This code would be deployed to a server or cloud function and would interact with VAPI through API calls. If you're looking for a more visual or GUI-based approach to designing conversation flows, you might want to check if VAPI integrates with any visual bot-building platforms or if they offer their own visual tools for designing conversations. These platforms often allow you to create complex conversation logic without writing code. For specific instructions on how to use the VAPI dashboard for multi-prompt interactions or to find out if there are GUI tools available, please refer to the VAPI documentation or reach out to their support team. If there are features on the dashboard that you are unsure about, I can help clarify their use if you provide more details.

@Suri checkout our prompting guide https://docs.vapi.ai/prompting-guide