AI Patterns / AI Interaction Pattern 15

Proactive Threshold Notifications

Proactively alert administrators across multiple channels when AI resource consumption, such as token usage, approaches a predefined threshold.

Use Case:Proactive Cost Management
Key Component:Notification Settings Panel
Interaction Type:Administrative Alerting

The User Problem This Pattern Solves

Setting budgets and quotas (as in Pattern 11) is a critical first step, but it's a passive control. An administrator is still at risk of being "blindsided" at the end of a billing cycle if a team has an unexpected surge in usage. Without a proactive alert system, they are forced to constantly and manually monitor dashboards to prevent budget overruns, which is inefficient and stressful.

The Design Solution & UI Mockup

The solution is an automated "early warning system" that gives administrators peace of mind. This UI provides simple, powerful controls to define a notification threshold using an intuitive slider. Below, an omni-channel notification list allows the administrator to choose exactly where they want to receive these critical alertsβ€”be it email, a Slack channel, or a technical webhook. This transforms resource management from a reactive, manual task into a proactive, automated process.

Resource Alert Settings

75%
  • πŸ“§ Admin Email Distribution List
  • πŸ’¬ #ops-alerts Slack Channel
  • πŸ”” In-App Notification Center
  • πŸ”— SMS/PagerDuty Webhook

Key Benefits & Impact

Prevents Budget Overruns

Provides a critical early warning, allowing administrators to take action *before* costs spiral out of control.

Reduces Administrative Overhead

Automates the task of monitoring usage, freeing up administrators' time for more strategic work.

Delivers Real-Time Awareness

Ensures that key stakeholders are immediately informed of important usage events via the channels they already use.

Design Considerations

A great notification system avoids "alert fatigue." It's important to allow administrators to configure not just one, but multiple thresholds (e.g., a "warning" at 75% and a "critical" alert at 95%). The notifications themselves should be actionable, containing specific details (e.g., "The Marketing Team has used 75% of its token quota") and a direct link to the resource management dashboard to take immediate action.

Capabilities β†’
All Work β†’
Dashboard Design System β†’
AI Interaction Patterns β†’
About β†’
Skills β†’