I was drowning in tabs. ChatGPT in one, a new open-source model in another, Perplexity for research—my workflow was a mess of lost conversations and fragmented context. I built the first version of MillenAI to solve this, creating a unified workspace to seamlessly switch between models without losing momentum. It was a huge improvement, but a new problem emerged.

When I asked a complex question, like "Should our company invest in decentralized AI?", I realized every AI gave me a single, monolithic answer. One model would be optimistic about the tech, another cautious about the ethics, and a third would focus on the market data. Each answer was useful, but incomplete. To get a truly comprehensive view, I had to manually synthesize these different perspectives, a tedious and error-prone process.

That was the moment it all clicked. Why ask one AI to be a jack-of-all-trades when I could assemble a team of specialists? This led to the creation of the AI Council. Instead of just one response, MillenAI now convenes a panel of AIs: a web-savvy Researcher, a pragmatic Analyst, a contrarian Philosopher, and a decisive Judge. You watch them work in real-time as they research, debate, and synthesize their findings into a final, multi-faceted verdict. It's not just a chat; it's a collaborative intelligence system.

MillenAI is built with a modern, high-performance tech stack. The frontend is powered by React 19+ and Vite, with styling from Tailwind CSS v4 and fluid animations from Framer Motion. Global state for the AI Council is managed efficiently by Zustand.

The backend leverages Firebase Auth for secure Google Sign-In and Firestore for real-time conversation storage. The AI Council's complex workflow is orchestrated by a Vercel Edge Function, which streams status updates to the client while making sequential calls to the ultra-fast Groq API.

Ready to experience a smarter way to interact with AI? Launch the app to convene your own AI Council or dive into the open-source codebase on GitHub to contribute.