StagePort × CueR is a governed multi-agent operations system designed for live events, hospitality environments, and other high-pressure settings where timing, permissions, and human judgment matter.

I designed the system to help teams coordinate movement, introductions, access, and operational decisions without turning the environment into a surveillance product. AI agents interpret event context, participant intent, role boundaries, and current operational state, then propose bounded actions for an authorized human to approve, hold, or reject.

The governing model is simple:

Agents propose. Humans approve. Receipts prove what changed.

Approved actions generate structured receipt artifacts that preserve decision context, authorization, and system state. This creates operational continuity and accountability while keeping consequential decisions under human control.

My role included product strategy, systems architecture, interaction design, agent orchestration, governance logic, workflow design, technical documentation, testing, and deployment. The system was developed as a mobile-first application using React, TypeScript, AI integrations, and Replit-based development and deployment workflows.

StagePort × CueR demonstrates my ability to convert an ambiguous operational problem into a coherent, deployable AI product with clear permissions, human approval gates, auditability, and production-minded boundaries.