πŸ“²User Interfaces: Studio, Vault, Model Hub, Syndication

Protocol logic, made usable for creators.

While ArtisanAI functions fundamentally as a decentralized protocol, it provides structured interfaces that facilitate intuitive, modular, and extensible interactions. These interfaces are not standalone applications, but protocol-aligned access points that expose core functionalities without sacrificing composability.

Artisan Studio

Studio serves both non-technical creators and advanced model users, standardizing prompt-to-asset pipelines into an accessible flow.

Features:

  • Prompt-based multimodal generation (text, image, video, audio, 3D)

  • Parameter tuning for model selection, style, resolution, etc.

  • Wallet-based authorship logging and model attribution

  • Immediate publishing or encrypted vault storage

Content Vault

A decentralized, encrypted storage layer for creative assets, ensures users retain ownership of generated content, whether kept private or published publicly.

Functions:

  • IPFS + zk-encrypted asset storage

  • Wallet-based access control and usage gating

  • On-chain metadata registry for provenance enforcement

  • Selective syndication permissions and licensing schemes

MyModel Hub

This transforms creators into AI infrastructure providers, enabling model logic to become a monetizable asset.

Capabilities:

  • Upload and register transformer or diffusion models

  • Set public, DAO-restricted, or private access levels

  • Define pricing curves, remix permissions, and attribution settings

  • Track model usage metrics and on-chain revenue flows

One-Click Syndication

Cross-platform publishing module for exporting assets to external network, syndicated bridges Web3 authorship with broader Web2 attention surfaces.

Supports:

  • Protocol-compliant syndication to Lens, Farcaster, Instagram, etc.

  • Embedded metadata for model ID, prompt hash, and wallet signature

  • Visibility tracking across off-chain and on-chain interactions

  • Distribution incentives based on engagement performance

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