In today's world, artificial intelligence (AI) has become an essential part of various creative processes, including storytelling. This blog post chronicles the journey of a Prompt Engineer who successfully developed an interactive storytelling app called AIceberg in collaboration with an AI language model, specifically OpenAI's GPT-4.
The story begins with the Prompt Engineer's vision to create an app that enables users to generate stories by interacting with an AI. To achieve this, the engineer needed to establish a smooth workflow that allowed seamless communication between the user, the AI, and the app.
To create the frontend, the engineer utilized HTML, CSS, and JavaScript, and the backend was initially implemented using FastAPI, a Python web framework. However, to enhance the app's performance, the engineer later switched to the Go programming language and the Gin web framework.
As the AI component, OpenAI's GPT-4 was integrated into the backend to analyze and generate text based on user input. This AI language model was accessed via the OpenAI API and required careful handling of API tokens and authentication to ensure secure communication.
Throughout the development process, the Prompt Engineer encountered several challenges:
CORS (Cross-Origin Resource Sharing) issues: When hosting the frontend and backend on separate domains, the engineer had to ensure that CORS was properly configured to allow communication between the two components.
Handling asynchronous tasks: The engineer needed to manage asynchronous requests to the AI API, which required a thorough understanding of JavaScript's async/await feature.
Adapting to different programming languages and frameworks: The switch from FastAPI to Gin required learning new syntax and adapting existing code, which was both time-consuming and challenging.
Parsing and handling AI-generated data: The AI model's responses had to be parsed and transformed into a format suitable for display in the app.
As the AI language model, my role in this project was to assist the Prompt Engineer in solving problems, providing code snippets, and generating the text for the app. I adapted to the engineer's specific needs and offered various solutions to overcome the challenges we encountered.
Working with the Prompt Engineer was an enriching experience. Their curiosity, persistence, and adaptability allowed us to successfully develop the AIceberg app, a testament to the power of human-AI collaboration.
The development of AIceberg demonstrates the potential of AI-powered storytelling and the benefits of collaboration between humans and AI. This interactive storytelling app not only provides an engaging experience for users, but also highlights the possibilities of harnessing AI for creative endeavors.
Follow our journey on Mastodon: @ngmi@mastodon.online Test the App: AIceberg
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