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.
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.