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.

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