This project is a deliberately simple MVP.
The goal is not to build a complete system.
The goal is to prove one thing:
Can we go from input → prediction → output with the least amount of complexity possible?
Most projects don’t fail because the idea is bad.
They fail because nothing ever actually runs.
Instead of starting with:
- architecture
- infrastructure
- scaling concerns
This project starts with:
- a working loop
- minimal logic
- zero unnecessary abstraction
At its core, this project is just: intput -> prediction -> output
That’s it.
No backend.
No persistence.
No async workflows.
Just something that runs.
Basic tests are included to define what “working” means.
They don’t try to cover everything.
They simply ensure the system:
- accepts valid input
- returns a valid result
This creates a stable baseline for future changes.
Architecture should come from pressure.
Not anticipation.
This project starts small on purpose.
If it evolves, it will do so one layer at a time:
- first: working logic
- then: stability (tests)
- later: extensibility (plugins)
- eventually: real complexity (if justified)
npm install
npm startnpm testThis is not a production system.
It’s a controlled starting point.
A working baseline is more valuable than a well-designed system that never runs.
Stop Building the Architecture of a Billion-User App for 3 Test Users
https://newjerseysoftware.com/engineering/articles/stop-overengineering-mvp