Use GPT to build an AI analytics summary bot

Introduction

In this tutorial, we'll explore how to convert complex information, such as detailed reports, into simplified, interactive formats that users can easily understand. We'll specifically demonstrate how to utilize Voiceflow's capabilities to create an AI-driven analytics summary bot using an API with a language model like GPT.

1. Getting Started

To initiate the process, start by invoking the "explain report" feature. Behind the scenes, Voiceflow retrieves the relevant API endpoint containing the report data. By leveraging an AI model, it summarizes the information and communicates it back to the user. For example, users could receive a straightforward summary like, "New York City is experiencing temperatures around 27 degrees Celsius today."

2. Interactive User Queries

Once the summary is delivered, users can ask follow-up questions, such as, "What is the wind speed?" The AI model can reference the original report to provide accurate responses, making it much easier for users to interact without wading through extensive data themselves.

3. Voiceflow Design Components

In Voiceflow, building this involves two main parts:

• Summarizing API Information: Begin by accessing the API endpoint that contains the report data. For demonstration purposes, you can manually set this using the "set step" to store the API endpoint in a variable. Voiceflow also offers API steps, JavaScript steps, and dialog manager APIs to pull real-time data from your site.

• Communicating with Users: After fetching the data, start with a user prompt, asking, "How can I help you?" This can be linked to buttons that guide users to various functionalities and topics.

4. Making the API Call

In Voiceflow's dev section, you will find the API step which enables you to perform all REST API operations (GET, POST, PUT, DELETE). Store the entire response in a variable for future processing. You'll receive a significant amount of data, including longitude, latitude, and daily forecasts.

5. Processing the Response

To process the response, use the "set step" again to convert the extensive array into a string using JSON.stringify(). This makes it digestible for the language model. Then, employ the "set AI step," found in the AI section of Voiceflow, to send a prompt to the AI model requesting a detailed weather report interpretation, which is saved in another variable.

6. Creating a User-Friendly Summary

Next, perform another AI call using the report obtained earlier to generate a user-friendly summary. You can specify which model to use (like Claude or GPT-3), with Claude showing fast response times and accurate outputs.

7. Handling User Interaction

To enable users to ask follow-up questions, utilize the "respond with memory" function. This feature allows the AI to refer back to the previous conversation context, similar to how chatbots like ChatGPT operate.

8. Error Handling

Lastly, consider implementing error-handling capabilities to gracefully communicate any issues back to the user should they arise.

Conclusion

With this workflow established, you can dive into building your analytics summary bot using Voiceflow. Should you encounter any issues or require support, feel free to reach out via Discord or through the support contact linked on the platform.

Keywords

• AI
• Voiceflow
• API
• GPT
• Weather report
• User interaction
• Error handling

FAQ

Q: What is Voiceflow?
A: Voiceflow is a tool that allows users to design and create conversational experiences, such as chatbots and voice apps.

Q: How does the AI summary bot work?
A: The bot fetches data from an API, summarizes it using an AI language model, and allows users to ask questions based on that information.

Q: Can I use different AI models?
A: Yes, in Voiceflow you can choose between multiple AI models like GPT-3 or Claude to process the data and generate summaries.

Q: How do I handle errors in the bot design?
A: You can implement error-checking logic to capture any API call issues and communicate them effectively to the user, ensuring a smooth experience.

Q: Where can I get support if I have questions?
A: You can reach out via Discord or use the support contact feature available in Voiceflow for assistance.