KRISIS is a premium, high-fidelity AI-augmented intelligence platform engineered for elite job search orchestration. It transforms traditional job tracking into a tactical decision protocol, prioritizing architectural calm, high-contrast clarity, and senior-grade engineering precision.
The platform has transitioned from legacy experimental designs to a unified, production-ready aesthetic.
- Strategic Command: A high-density dashboard for real-time pipeline visualization.
- Intelligent Ingestion: Automated sector-wide job search via deep-learning integration.
- Decision Protocols: Tactical urgent-action grids and asymmetric intelligence layouts with "Daily Tactical Briefs".
- Browser Extension: KRISIS CLIPPER for one-click job ingestion from LinkedIn/Indeed.
- High-Fidelity Reporting: Strategic PDF generation for regional pipeline analysis.
- Global Readiness: Standardized i18n architecture for multi-market deployment.
- Framework: React 18 + Vite (Atomic Performance)
- Styling: Tailwind CSS v4 + Design Token Architecture (Pure CSS Variables)
- State Orchestration: Zustand (Persistent) + TanStack Query (Server State)
- Language: Strict TypeScript 5.2+ (Total Type Safety)
- Validation: Zod (Neural Schema Validation)
- Animation: Framer Motion + Performance-optimized CSS transitions
- BaaS: Firebase (Auth/Firestore/Functions)
- AI: Google Gemini 2.5 Flash (Strategic Ingestion & Behavioral Analysis)
- SDK: @google/genai (Latest Native Integration)
- Observability: Standardized Error Handling (Sentry-ready)
krisis/
├── docs/ # High-Level Specifications & Architecture Decision Records
├── frontend/ # The Strategic Command Center
│ ├── src/
│ │ ├── components/ # UI Primitives & Complex Organisms (StatCards, AsymmetricGrid)
│ │ ├── lib/ # Core Utilities & Firebase Ingestion Engines
│ │ ├── styles/ # Unified Design System (Tailwind Tokens)
│ │ └── pages/ # Strategic Pipeline Views
├── functions/ # Serverless Edge Logic (Intelligence Processing)
- Node.js 20+
- Firebase CLI (
npm install -g firebase-tools) - Gemini API Key (for Intelligence Engines)
# Clone the protocol
git clone <repository-url>
cd krisis/frontend
# Install dependencies
npm install
# Setup Intelligence Environment
cp .env.example .env # Inject your secure tokenscd frontend # Navigate to the frontend directory
npm run dev # Initiate Local Command Center
npm run build # Compile Production-Grade ArtifactsPopulate the system with high-fidelity mock data for stress testing and demonstration:
- Navigate to Data Management.
- Trigger the Initialize Demo Protocol action.
- Observe real-time status propagation across the Analytics engine.
Generate intelligence reports for stakeholder review:
- Access the Analytics or Data Management suite.
- Select Export Intelligence Report.
- Download the high-fidelity PDF/CSV artifact for local analysis.
Individual technical deep-dives are available in the docs/ directory:
Engineered by Zawadi MC Nyachiya | 2026