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

# Scoring System

In Web4, value is not created by machines — it is generated by humans. FXXX's AI scoring engine is the bridge between raw human emotion and verifiable on-chain value.

Every voice submission you send is processed in real time by the FXXX AI agent. The agent does not just hear your words — it reads the signal behind them. Emotional data is extracted, weighted, and converted into a score that determines your $FXXX mining output.

Your score is not a judgment. It is a measurement. The AI quantifies what you feel — and the network rewards it.

### How the AI Reads Your Voice

The FXXX AI engine analyzes each voice submission across four core dimensions. These signals are processed simultaneously and combined into a single contribution score between 0 and 100.

<table data-header-hidden><thead><tr><th width="144"></th><th width="205"></th><th width="377"></th></tr></thead><tbody><tr><td><strong>Dimension</strong></td><td><strong>Core Element</strong></td><td><strong>How the AI Analyzes</strong></td></tr><tr><td>Dimension 01</td><td>Emotional Intensity</td><td>The raw energy behind your expression. The AI measures amplitude, pitch variation, and vocal stress patterns to quantify how strongly you feel what you are saying.</td></tr><tr><td>Dimension 02</td><td>Authenticity</td><td>Real emotion has a distinct signature. The AI is trained to distinguish genuine human expression from flat, scripted, or artificially generated inputs. Authentic signals score significantly higher.</td></tr><tr><td>Dimension 03</td><td>Signal Clarity</td><td>A clean signal produces a better read. The AI evaluates audio quality and vocal clarity to ensure your emotional data is captured accurately and completely.</td></tr><tr><td>Dimension 04</td><td>Contribution Uniqueness</td><td>The network values diversity. Repetitive or low-variety submissions are weighted lower. Each unique emotional contribution adds more value to the FXXX data layer.</td></tr></tbody></table>


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