Dashboard MVP
An AI orchestration platform that coordinates multi-agent workflows through a unified command interface.
The Problem
Modern AI workflows require coordinating multiple language models, each with different capabilities and constraints. Existing tools force linear, single-model interactions that break down when tasks require parallel reasoning or cross-model verification.
Teams were spending more time managing prompt chains than building products.
The Approach
Built a real-time orchestration layer that treats AI models as composable services. The dashboard provides a unified interface for designing multi-agent workflows, monitoring execution, and debugging failures.
The system uses WebSocket streams for live feedback and SQLCipher for encrypted local state, ensuring sensitive data never leaves the user’s environment.
Key Screens
What I Learned
The hardest part wasn’t the technical architecture—it was designing an interface that made complex multi-agent workflows feel simple. I learned that the best orchestration is invisible: users should think in terms of outcomes, not agents.