TreeGPT

Inspiration

TreeGPT was inspired by the limitations of linear AI conversations. Traditional chat interfaces only allow users to follow a single conversation path, forcing them to start over when exploring alternative ideas. We envisioned a more natural way to interact with AI that mirrors how human conversations branch and evolve with different possible directions.

What it does

TreeGPT creates a branching conversation experience with AI. Users can:

• Start conversations with an AI assistant
• Create branches at any point to explore alternative responses to the same prompt
• Visualize their conversation as a tree structure
• Navigate between different conversation branches
• Save and revisit their conversation trees
• Share conversation branches with others

How we built it

We developed TreeGPT using a modern tech stack:

• Frontend: Next.js with TypeScript and Tailwind CSS for a responsive UI
• Backend: Node.js/Express server handling authentication and conversation management
• Database: MongoDB for storing user accounts and conversation trees
• AI: Anthropic's API for generating responses
• Authentication: JWT for secure user sessions

Challenges we ran into

• Implementing an intuitive UI for navigating complex conversation trees
• Managing state across branching conversations
• Optimizing API usage with Cluade to balance costs and performance
• Ensuring smooth transitions when switching between conversation branches
• Handling error states with the external AI API gracefully

Accomplishments that we're proud of

• Created a visual tree interface that makes complex conversation structures intuitive
• Implemented smooth animations for branch creation and navigation
• Built a responsive design that works across devices
• Developed a secure authentication system
• Created an architecture that can scale to support many users and complex conversation trees-

Built With

• claude
• express.js
• nextjs