How I Built Xavion AI — A Multi-Model AI Platform
The Problem I Wanted to Solve
When I first started exploring AI, I was surprised by how fragmented the experience was. You had to sign up for ChatGPT here, Claude there, Gemini somewhere else — and there was no easy way to compare their responses. I was juggling multiple browser tabs, copying the same prompt into different platforms, trying to figure out which gave the best answer. I thought: what if there was one place to talk to all of them at once?
Starting From Zero
I didn't know web development when I started this project. I had to learn everything — React, Next.js, APIs, authentication, databases, deployment — all while building the actual product. It was intimidating, but I broke it down into small steps and spent over 1,000 hours coding it from scratch.
Phase 1: Learning the Foundations
I spent the first few weeks learning React and Next.js through tutorials and documentation. I built small practice projects to understand state management, routing, and component architecture before touching the AI platform.
Phase 2: Building the Core
The core of Xavion AI is the model integration layer. I had to learn how to work with multiple AI APIs — OpenAI, Anthropic, Google, and others — each with their own authentication, request formats, and response structures. I built a unified abstraction layer that normalizes all of them into a consistent interface.
Phase 3: Real-time Streaming
One of the biggest technical challenges was implementing real-time streaming responses. When you send a message to an AI model, you don't want to wait for the entire response — you want to see it appear word by word. I implemented Server-Sent Events (SSE) to stream responses from the backend to the frontend in real time.
Phase 4: The Complete Rebuild
In the beginning, I developed features quickly but separately: image generation had its own page, its own sidebar, everything. But as the platform grew, I realized the interface felt fragmented. Users shouldn't have to think about where to go for different features. So I started over and rebuilt the entire UI from scratch into one seamless experience. It meant weeks of work undoing what I'd already built, but it taught me that good design isn't just about making things work — it's about making it user-friendly.
Phase 5: Side-by-Side Comparison
The killer feature of Xavion AI is the ability to interact with up to 6 AI models simultaneously and compare their responses side by side. This required careful state management and a responsive layout that works on both desktop and mobile.
What I Learned
Building Xavion AI taught me more than any course or tutorial ever could:
System design — How to architect a complex application with multiple integrations
API design — Building clean, consistent APIs that are easy to maintain
Performance — Optimizing real-time streaming for a smooth user experience
Product thinking — Learning to receive feedback objectively and build for users, not just for myself
Business — Registering a company, managing costs, and thinking strategically
What's Next
I'm continuing to add new models, improve the user experience, and explore new features. What started as a personal comparator tool has evolved into an easy-to-use platform available to a worldwide community. Xavion AI is a living project that grows with me.