⏩Reward Distribution & Discovery

Creation earns, discovery scales it.

ArtisanAI is designed to ensure that every meaningful contribution, whether it originates from content creation, model development, or social curation, is quantifiably rewarded and algorithmically surfaced. The protocol establishes a multi-dimensional incentive loop, anchored in verifiable on-chain actions and tied directly to the $ART token distribution.

Behavior-Driven Reward Allocation

$ART tokens are distributed continuously and programmatically, based on measurable network participation. Rewarded behaviors include:

• Publishing original content (text, images, video, etc.)

• Deploying and sharing AI models

• Remixing and forking existing works

• Engaging with content (likes, shares, comments)

• Curating or boosting assets through DAO-based mechanisms

• Driving downstream engagement via syndication

Each behavior carries a weighted score calculated via protocol-defined logic. Higher scores correspond to larger share allocations from the reward pool.

Reputation and Signal Quality

To prevent manipulation and ensure long-term value alignment, ArtisanAI incorporates:

• Reputation-weighted impact — accounts with longer, consistent activity have higher influence

• Sybil-resistance heuristics — such as wallet age, DAO participation, and staking history

• Interaction lineage — reward shares flow backward through remix trees to original contributors

Discovery Mechanisms

The protocol includes a discovery layer that functions as a recommendation engine, driven entirely by on-chain activity signals. This ensures that high-quality or innovative work gains visibility — not through centralized editorial control, but through provable interaction trails:

• Trending models & content surfaced by recent engagement metrics

• Remix graph analytics for surfacing influential assets

• Curation staking allowing DAOs or users to boost visibility

• Personalized feeds generated by wallet-linked interaction history

Reflexive Incentive Loop

The interaction between rewards and discovery forms a closed loop:

Creation → Engagement → Visibility → Token rewards → Further creation

This reflexive cycle drives protocol activity, encourages positive feedback behaviors, and supports a self-sustaining creator economy at scale.