Web/Mobile Personal AI CFO

How I Built an AI-Powered Finance App and distributed it's services to support volume and concurrency FinTrack A technical high level walkthrough of building a personal finance application that combines traditional CRUD with AI features—and why I split the services The Problem I wanted to build a personal finance app that could do more than track transactions. I wanted it to understand your finances: answer questions in natural language, categorize expenses automatically, and even take voice input, like a real personal assistant, so users dont have to type everything, you can ask Finny. The challenge? Most AI work happens in Python, while typical web backends live in Node.js. How do you get the best of both worlds without a tangled mess? This is how I did it. Obs: remember that are more than one way to skin the cat and all comes down to concurrency, volume, cost, context in which your app will start running. High-Level Architecture I chose a dual-backend architecture : one service for