# Metadata Computation & ZKAI Privacy Layer

To preserve privacy while enabling personalization, InSoBlok AI employs a **ZKAI-powered metadata layer**-a fusion of **zero-knowledge cryptography** and **AI inference engines** to process user behavior, preferences, and influence signals.

**Key Capabilities:**

* **On-device taste modeling** using AI agents that generate local recommendations without exposing raw preferences
* **Zero-Knowledge Proofs** verifying engagement stats (e.g., “voted on 20 Yay/Nay polls”) without revealing identities
* **Privacy-preserving TasteScore computation** where inputs are obfuscated and outputs verifiable but unlinkable

This enables **secure computation over encrypted data**, allowing for:

* Reputation-based ranking of posts, content, and influencers
* Governance voting eligibility tied to social contribution
* Personalized AI assistants (styling, content curation) that respect user privacy

ZKAI turns **social behavior into structured insights**-all while preserving confidentiality, preventing surveillance, and decentralizing data control.


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