Inspiration
We wanted answers that reflect multiple perspectives, not just one model’s limitations.
What it does
Lets you chat with up to six AIs simultaneously or have four models collaborate for a unified, higher-quality response.
How we built it
Integrated multiple large-language models through a single API layer Openrouter/Puter, built a real-time chat interface, and designed logic for model consensus and conflict resolution.
Challenges we ran into
Synchronizing model responses in real time, balancing latency with accuracy, and designing a clear interface for multi-model interaction.
Accomplishments that we're proud of
Achieved smooth multi-AI conversations and a reliable system for synthesizing four models into one coherent answer.
What we learned
Techniques for orchestrating multiple LLMs, managing response diversity, and building an engaging collaborative AI experience.
Built With
- puter
- typescript
Log in or sign up for Devpost to join the conversation.