TreeGPT 🌲
A branching conversation application that allows users to explore multiple AI responses to the same prompt, creating a tree-like conversation structure instead of a linear chat.
Project Screenshots
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 Claude to balance costs and performance
- Ensuring smooth transitions when switching between conversation branches
- Handling error states with the external AI API gracefully