Gary Gao (garygao@sas.upenn.edu) Colin O'Reilly (colin.p.o'reilly.28@dartmouth.edu) Kasra Panahi (kasra@sas.upenn.edu)
We were inspired by the growing need for effective AI communication skills in a fun, competitive format. Just as typing games have gained popularity, we saw an opportunity to create a game focused on prompt engineering.
The Alignment Problem is a competitive game that tests users' abilities to craft effective AI prompts. In Rapid mode, users focus on speed and strategic questioning as they work their way up the leaderboard.
We developed the platform using the MERN stack with Next.js, leveraging Cerebras and Tune to tackle complex problems. The front end features components for user authentication, gameplay, and real-time score tracking, providing a seamless and engaging user experience.
What we used:
- React
- Next.js
- Express
- Node.js
- MongoDB Atlas
- Tailwind CSS
- Tune AI
- Clerk
We successfully created a fully functional prototype that integrates a leaderboard and competitive elements. The positive feedback from initial testers highlighted the engaging gameplay and the potential for skill improvement.
We learned the importance of user feedback in shaping gameplay dynamics. Additionally, we gained insights into optimizing performance with real-time data processing, ensuring a seamless user experience.
We plan to enhance the game with more diverse question categories, expand the user base, and introduce community-driven features like custom challenges. Our goal is to refine the experience and increase engagement!