README
Moniqo: AI Finance SaaS
An AI-powered personal finance SaaS showcasing how any application can be enriched with production-grade AI features. Demonstrates an intelligent financial chatbot, AI-generated dashboard insights, and real-time anomaly detection built on a full-stack mobile-first architecture.
The Concept
- Showcasing how AI features can be seamlessly integrated into any SaaS application
- Demonstrating a multi-agent AI approach to financial analysis and insights
- Building a production-grade finance tool with real-world auth, database, and AI layers
- Proving that AI copilots can meaningfully enhance user experience beyond simple chatbots
The Approach
- Built a full-stack personal finance application with mobile-first responsive design
- Integrated a dedicated AI Financial Chatbot with session persistence and follow-up suggestions
- Layered AI-generated dashboard cards: Health Score, Forecast, Weekly Report, Insights, Anomaly Detection
- Implemented production-grade JWT authentication with access/refresh token rotation
- Seeded with 508 realistic transactions across 14 account types over 12 months
Tools & Technology
- Next.js (App Router) - Full-stack framework with server actions
- Prisma + PostgreSQL - Database ORM and relational data layer
- OpenAI / LLM API - Powers the financial chatbot and AI insight cards
- JWT (jose) - Secure httpOnly cookie-based authentication
- Framer Motion - Smooth UI animations and transitions
Key Takeaways
- AI insights are most valuable when they are contextual and data-grounded
- Multi-agent AI cards that stream independently improve perceived performance significantly
- Production-grade auth with JWT and refresh rotation is essential even for demonstrations
Tech Stack
Next.jsSupabaseOpenAIFramer Motion
Screenshots





