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Case Study — 2026

QOTA

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Commercial Deployment & Client

AI Engineers & Antigravity/Claude Power Users

macOS & Windows AI Engineers

Key Operational Impact

Projected an ultra-compact Level 1001 floating HUD delivering real-time quota telemetry across 3 AI agent ecosystems with zero cloud data transmission.

Technology Stack & Libraries

ElectronNode.jsAppKit / CocoaJavaScriptTailwind CSS

Executive Overview

Universal real-time AI quota monitor and tactile floating HUD for macOS and Windows. Projects a persistent Level 1001 micro-pill instrument anchored over full-screen IDEs to monitor remaining token velocity and 5-hour cycle thresholds across Google Antigravity, Claude Code, and OpenAI Codex.

The Operational Problem

Software engineers using terminal and IDE AI coding agents (Antigravity, Claude Code, Codex) suffer from abrupt mid-session token lockouts with zero predictive visibility into 5-hour rolling cycle limits.

The Engineered Solution

Engineered a lightweight, zero-cloud desktop telemetry HUD running at Cocoa Level 1001 (visible over native macOS full-screen spaces) with a decreasing sprint rail and menu bar status indicator.

Key Architectural Decisions
  • Persistent Cocoa Level 1001 (NSScreenSaverWindowLevel) window anchoring over full-screen editors
  • Local JSON/log telemetry scanner computing decreasing 5-hour sprint rails and remaining allowances
  • Native macOS menu bar (NSStatusItem) and Windows System Tray percentage indicators with color-coded health beacons
Verified Production Outcomes
  • Eliminated unexpected mid-session AI agent throttles with proactive warning thresholds
  • 100% local telemetry processing with zero external cloud tracking or token leakage
  • Multi-platform desktop release packaged for macOS (.dmg) and Windows (.exe)

Engineering Scope & Role

Native Systems & Full-Stack Engineer (Solo Builder)
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