Most AI dashboards look like they were built for engineers who already understand everything.

Botrix was built for the person responsible for everything and who needs to see it all in one place.

12 automations running. 8 apps connected. 2 active servers. 98% success rate. Four numbers. Full operational picture. No clicking around.

So I designed the Botrix AI Command Center to feel less like a monitoring tool and more like a control room that actually respects your time.

A soft warm canvas with orange and blue agent activity lines that make peak performance visible at a glance. The +24.11% agent execution spike isn't buried in a report; it surfaces as a live tooltip right on the chart at the moment it matters. The server status panel shows Singapore running at 42% CPU, 68% RAM, and 124GB bandwidth with Restart, SSH, and Scale actions one click away. The New York backup node shows Stopped in red, immediately, with no digging required.

The Live Activity Feed filters by All, Success, Failed, and Paused so nothing hides behind a green average. The connected tools panel shows OpenAI active and Stripe ready to toggle the entire integration layer visible without opening a settings page.

The goal was clear:

See everything. Act immediately. Trust the system.

Because when AI agents are running your business, the dashboard can't afford to be the bottleneck.

Designed by Orbix Studio.

#AIDashboard #AgentMonitoring #UIDesign #DashboardUI #ProductDesign #SaaSDesign #AITools #OrbixStudio

Nice work

Airship is a real-time engagement platform that uses APNs to deliver event-driven, stateful user experiences. It manages multi-stage lifecycles (pre-event, active, post-event) and continuously updates user-facing content through push-based triggers and scheduled workflows.

The system combines APNs updates, event processing, and time-based orchestration to keep user data in sync across a session.

This directly aligns with Apple Wallet requirements, where a pass or Live Activity needs to be updated dynamically over time via APNs, based on events like trip status, timing, and user activity.