# I built a minimalist, dependency-free ecosystem for private AI using vanilla JavaScript

> Source: <https://dev.to/juanoto2012/i-built-a-minimalist-dependency-free-ecosystem-for-private-ai-using-vanilla-javascript-ii7>
> Published: 2026-09-24 15:47:45+00:00

Hi Dev.to community!

I'm JJDev, a self-taught developer. Recently, I became fascinated by the private AI ecosystem, but I noticed that many modern web tools are bloated with heavy frameworks and endless dependencies that slow down performance.

So, I decided to build a solution from scratch: **Ventarys AI**.

Ventarys is a lightweight, open-source platform designed for developers and power users who want a private AI workspace without sacrificing speed or security. You can check it out live at [ventarys.net](https://ventarys.net/) or look at the code structure directly on my [GitHub: Juanoto2012/Ventarys-AI](https://github.com/Juanoto2012/Ventarys-AI).

To achieve near-instant load times and zero-configuration setups, I avoided React, Vue, or heavy npm packages. Instead, I relied entirely on native browser capabilities:

When I first launched the landing page, I tried monetizing it with Google AdSense. However, I quickly realized two things: it only generated a few cents, and the intrusive tracking scripts completely ruined both the minimalist UI and my "privacy-first" promise.

I chose to value **User Experience (UX)** over pennies. I removed AdSense entirely. Now, I am hoping to sustain the independent server costs purely through community support on **Buy Me a Coffee** and hopefully applying to developer-friendly networks like **Carbon Ads** once my traffic grows.

As a young developer, I am constantly trying to learn and improve my architecture workflows. Since the project is fully open-source, I would deeply appreciate it if senior devs could take a look at my code structure and share some advice!

What do you think about building modern AI interfaces using pure native web standards? Let's discuss in the comments!