> For the complete documentation index, see [llms.txt](https://markers.gitbook.io/noah-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://markers.gitbook.io/noah-docs/readme.md).

# Introduction-SCREAM AI !

**Scream-AI.-Turn Attention Into Income-Your Mindshare, Monetized**

In an era where content is abundant but true engagement is rare, we’re redefining how value is created and captured online. Our platform is centered around what would be classified as yap to earn: a system where your voice, opinions and conversations aren’t just heard, they’re rewarded. Built for the attention economy, we convert genuine digital interaction into measurable economic value using advanced AI based  engagement scoring models.

We are building a multimodal system that is not just text based but will reward videos and images too. 45% of the crypto edutainment that happens in videos or images is currently neglected by existing yap to earn systems.  We’re starting where the world yaps the most i.e. Twitter. Through seamless integration, we track, evaluate, and reward users for meaningful interactions such as originality, replies, value threads, and mentions. But we don’t just count likes and retweets. Our system measures signal over noise, analyzing depth, impact, and resonance to ensure that smart, authentic content gets recognized and compensated.

Our long-term vision goes far beyond one platform. The same Scream AI scoring engine powering Twitter-based yapping we will be extending to YouTube, Reddit, and even other communities and forums. Whether you're a creator, community builder, meme curator, or researcher, we’re building the rails for a future where every yap you make contributes to your economic graph.

This is more than engagement farming, it’s a **proof-of-attention** protocol for the next generation of online credibility. Scream loud. Scream smart. Get rewarded.