> For the complete documentation index, see [llms.txt](https://docs.insoblokai.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.insoblokai.io/whitepaper/core-protocol-and-infrastructure/protocol-enhancements-and-architectural-overview/tastescore-tm-as-a-protocol-logic-layer.md).

# TasteScore™ as a Protocol Logic Layer

Beyond traditional consensus mechanisms, InSoBlok introduces **TasteScore™-**an AI-enhanced, on-chain reputation system that acts as a programmable social layer woven directly into the protocol. TasteScore affects:

* **Discovery Algorithms**: Higher TasteScores result in greater content visibility.
* **Governance Influence**: Voting weight and DAO proposal authority are linked to user TasteScores.
* **Token Rewards**: XP and $INSO earnings are influenced by a user’s validated social impact.
* **Transaction Flexibility**: In future iterations, users with high TasteScores may be prioritized for certain zero-gas interactions.

By embedding **reputation-weighted consensus** into the system, InSoBlok AI evolves from a transactional network into a **culturally-aware economic layer**, where users with aesthetic and social influence are recognized not just by metrics-but by protocol logic itself.