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Engine of Truth

What should we get into?

Powered by GPT-OSS 120B.

Browse AI Models

Advanced

GPT-OSS 120B

OpenAI's open-weight flagship model, for complex tasks.

Premium

Ooverta

Advanced reasoning and analysis.

Standard

GPT-OSS 20B

Extremely fast and lightweight.

Premium

Multi-Perspective

Uses multiple AI models simultaneously for comprehensive answers.

Hugging Face

Qwen 2.5 72B (HF)

Alibaba's large open-weight instruct model, via Hugging Face.

Hugging Face

Qwen 2.5 7B (HF)

Fast, lightweight open-weight instruct model.

Code Examples

API Integration

fetch('/api/query-gateway', {
  method: 'POST',
  body: JSON.stringify({
    query: 'Explain AI',
    model: 'ooverta'
  })
})

Streaming Response

const reader = response.body.getReader();
while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  // Process chunk
}

Our Mission

In an era of curated realities and algorithmic bias, truth has become a scarcity. Roovert exists to reverse this entropy. We are building the world's most rigorous AI engine, designed not to please, but to understand.

Built With Itself

Here's something interesting: large portions of Roovert were built using Roovert itself.

The code you're reading, the components rendering on this page, the API routes handling your requests—many of them started as conversations with the AI models powering this interface. We asked questions, refined prompts, iterated on responses, and built features in real-time through the same chat interface you're using now.

This isn't a gimmick. It's a practical demonstration of what happens when you treat AI as a first-class development tool rather than a novelty. The privacy policy, the consent banner, the visitor tracking system, the UI components—all of it emerged from iterative conversations where we challenged assumptions, tested implementations, and refined code until it worked.

There's something recursive about building an AI interface with AI. You end up with a product that understands its own construction, that can explain its architecture, that knows why certain decisions were made. It creates a kind of self-awareness in the codebase that traditional development doesn't usually achieve.

We're not just building tools for AI. We're building tools with AI, and that changes everything.