import React, { useState, useEffect } from 'react'; import { MessageSquare, Cpu, Database, Map, Plane, Zap, ShieldCheck, ChevronRight, Terminal, Activity, Globe, Settings } from 'lucide-react'; const App = () => { const [activeStage, setActiveStage] = useState('ingestion'); const [scenario, setScenario] = useState('standard'); const [isSimulating, setIsSimulating] = useState(false); const [simOutput, setSimOutput] = useState(null); const scenarios = { standard: { input: "Can you get my bags to the Ritz-Carlton SFO if my flight lands at 4 PM?", logic: [ { step: "Check DL882 Status", status: "On Time", icon: Plane }, { step: "SFO Grid Capacity", status: "82% Available", icon: Database }, { step: "Traffic (SFO -> Market St)", status: "Light (22 mins)", icon: Map }, ], output: "Yes, Jerome. If you book now, we guarantee delivery by 5:45 PM. Head straight to Benu." }, delay: { input: "My flight is delayed by 2 hours. What happens to my bags?", logic: [ { step: "Reschedule Pickup", status: "Buffer Applied", icon: Settings }, { step: "Vault Allocation", status: "Hold at Terminal B", icon: ShieldCheck }, { step: "New ETA Calculation", status: "8:00 PM Delivery", icon: Activity }, ], output: "No stress. We've detected the delay. Your bags will stay in our secure 'Project Zero' vault until your new landing time." } }; const runSimulation = () => { setIsSimulating(true); setSimOutput(null); setTimeout(() => { setIsSimulating(false); setSimOutput(scenarios[scenario]); }, 1500); }; return (
{/* Header */}

BAGGED™ Concierge AI

Predictive Mobility Orchestrator / Functional Blueprint

Gemini 2.5 Flash Active
{/* Left Column: The Architecture */}

The AI Orchestration Loop

{[ { id: 'ingestion', title: '1. Ingestion', desc: 'Captures voice/text + Flight metadata from Google sync.', icon: MessageSquare }, { id: 'reasoning', title: '2. Predictive Reasoning', desc: 'Grounding in BAGGED™ Logistics Data + Real-time traffic.', icon: Zap }, { id: 'output', title: '3. Strategic Output', desc: 'Delivers high-confidence logistics solutions & stress reduction.', icon: ShieldCheck } ].map((stage) => (
setActiveStage(stage.id)} >

{stage.title}

{stage.desc}

))}

GCP Data Moat Integration

Public Feeds

Google Maps / FlightAware

Proprietary

BAGGED™ Capacity Grid

Infrastructure

Project Zero Telemetry

AI Layer

Vertex AI Custom Prompting

{/* Right Column: Simulation Sandbox */}
Simulation Sandbox
"{scenarios[scenario].input}"
{isSimulating && (
)} {simOutput && (
Reasoning Process
{simOutput.logic.map((l, idx) => (
{l.step}
{l.status}
))}
AI Response

{simOutput.output}

)}

Scale 3 Deployment Ready

This model leverages Gemini's multi-modal capabilities to eventually ingest photos of luggage tags and voice commands via wearables.

© 2026 BAGGED™ Free to Move™ / Functional Specification App v1.0

); }; export default App;
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