2025
FaceValue
FaceValue is a marketplace that allows individuals to license, auction, or sell their likeness for AI model training, bridging the gap between creators, collectors, and generative AI. As the sole designer, I crafted the end-to-end experience: from onboarding and identity verification to auction flows, training rights, and bidding interactions.
AI
Blockchain
Project Overview
Where digital selves meet their FaceValue.®
The Problem
As AI models increasingly replicate human voices, faces, and personas, there’s no mainstream UX framework for how people should manage or sell their own identity data. We aimed to create a transparent, intuitive, and trust-first platform for users to tokenize and trade their likeness rights, all while educating them on what’s happening under the hood.
Design Goals
Design Goals
Build trust with unfamiliar concepts like “likeness licensing,” “training rights,” and “model exclusivity.”
Make technical processes (LoRA training, data attribution) feel human and accessible.
Design modular, future-proof auction mechanics (reserve price, limited rights, exclusive use).
Support both creators (sellers) and AI model developers (bidders) in a shared UI.
Key UX Features
Key UX Features
Auction & Bidding Interface
Designed flexible auction types: time-based, reserve-only, limited-use, and exclusivity tiers.
Created dynamic bidding overlays with real-time updates, training rights visibility, and expiry timelines.
Built multi-state components for “won,” “outbid,” “auction closed,” and “awaiting training.”
Likeness Profile
Designed a profile page that acts as a hybrid of a marketplace storefront and personal brand identity.
Included badges, training logs, prior sales, usage rights, and sample generations using their likeness.
Early designs included Spline-based 3D card-style visuals to make identity presentation dynamic.
Visual & Brand Direction
Used a high-tech aesthetic with gradients, blur, and sharp typographic contrast to evoke credibility.
Icons and interaction affordances were designed to bridge Web3 + Web2 familiarity (e.g., wallet-connected states alongside regular login).
Focused on making privacy, trust, and value feel tangible through thoughtful microcopy and modular UI.
Results
Results
Developed full Figma prototype handed off to early-stage founders for MVP fundraising.
Used in initial investor pitches to communicate product vision.
Contributed to a broader discussion around ethical AI training and user rights in digital identity marketplaces.
FaceValue was one of the most forward-thinking UX challenges I’ve tackled. It involved designing for both technical transparency and emotional safety, all while inventing new interaction models for digital identity. The lessons I learned about framing unfamiliar technology and respecting user control deeply inform how I now approach onboarding across projects.
More Works
(truo® — 02)
©2025
2025
FaceValue
FaceValue is a marketplace that allows individuals to license, auction, or sell their likeness for AI model training, bridging the gap between creators, collectors, and generative AI. As the sole designer, I crafted the end-to-end experience: from onboarding and identity verification to auction flows, training rights, and bidding interactions.
AI
Blockchain
Project Overview
Where digital selves meet their FaceValue.®
The Problem
As AI models increasingly replicate human voices, faces, and personas, there’s no mainstream UX framework for how people should manage or sell their own identity data. We aimed to create a transparent, intuitive, and trust-first platform for users to tokenize and trade their likeness rights, all while educating them on what’s happening under the hood.
Design Goals
Build trust with unfamiliar concepts like “likeness licensing,” “training rights,” and “model exclusivity.”
Make technical processes (LoRA training, data attribution) feel human and accessible.
Design modular, future-proof auction mechanics (reserve price, limited rights, exclusive use).
Support both creators (sellers) and AI model developers (bidders) in a shared UI.
Key UX Features
Auction & Bidding Interface
Designed flexible auction types: time-based, reserve-only, limited-use, and exclusivity tiers.
Created dynamic bidding overlays with real-time updates, training rights visibility, and expiry timelines.
Built multi-state components for “won,” “outbid,” “auction closed,” and “awaiting training.”
Likeness Profile
Designed a profile page that acts as a hybrid of a marketplace storefront and personal brand identity.
Included badges, training logs, prior sales, usage rights, and sample generations using their likeness.
Early designs included Spline-based 3D card-style visuals to make identity presentation dynamic.
Visual & Brand Direction
Used a high-tech aesthetic with gradients, blur, and sharp typographic contrast to evoke credibility.
Icons and interaction affordances were designed to bridge Web3 + Web2 familiarity (e.g., wallet-connected states alongside regular login).
Focused on making privacy, trust, and value feel tangible through thoughtful microcopy and modular UI.
Results
Developed full Figma prototype handed off to early-stage founders for MVP fundraising.
Used in initial investor pitches to communicate product vision.
Contributed to a broader discussion around ethical AI training and user rights in digital identity marketplaces.
FaceValue was one of the most forward-thinking UX challenges I’ve tackled. It involved designing for both technical transparency and emotional safety, all while inventing new interaction models for digital identity. The lessons I learned about framing unfamiliar technology and respecting user control deeply inform how I now approach onboarding across projects.
More Works
(truo® — 02)
©2025
2025
FaceValue
FaceValue is a marketplace that allows individuals to license, auction, or sell their likeness for AI model training, bridging the gap between creators, collectors, and generative AI. As the sole designer, I crafted the end-to-end experience: from onboarding and identity verification to auction flows, training rights, and bidding interactions.
AI
Blockchain
Project Overview
Where digital selves meet their FaceValue.®
The Problem
As AI models increasingly replicate human voices, faces, and personas, there’s no mainstream UX framework for how people should manage or sell their own identity data. We aimed to create a transparent, intuitive, and trust-first platform for users to tokenize and trade their likeness rights, all while educating them on what’s happening under the hood.
Design Goals
Build trust with unfamiliar concepts like “likeness licensing,” “training rights,” and “model exclusivity.”
Make technical processes (LoRA training, data attribution) feel human and accessible.
Design modular, future-proof auction mechanics (reserve price, limited rights, exclusive use).
Support both creators (sellers) and AI model developers (bidders) in a shared UI.
Key UX Features
Auction & Bidding Interface
Designed flexible auction types: time-based, reserve-only, limited-use, and exclusivity tiers.
Created dynamic bidding overlays with real-time updates, training rights visibility, and expiry timelines.
Built multi-state components for “won,” “outbid,” “auction closed,” and “awaiting training.”
Likeness Profile
Designed a profile page that acts as a hybrid of a marketplace storefront and personal brand identity.
Included badges, training logs, prior sales, usage rights, and sample generations using their likeness.
Early designs included Spline-based 3D card-style visuals to make identity presentation dynamic.
Visual & Brand Direction
Used a high-tech aesthetic with gradients, blur, and sharp typographic contrast to evoke credibility.
Icons and interaction affordances were designed to bridge Web3 + Web2 familiarity (e.g., wallet-connected states alongside regular login).
Focused on making privacy, trust, and value feel tangible through thoughtful microcopy and modular UI.
Results
Developed full Figma prototype handed off to early-stage founders for MVP fundraising.
Used in initial investor pitches to communicate product vision.
Contributed to a broader discussion around ethical AI training and user rights in digital identity marketplaces.
FaceValue was one of the most forward-thinking UX challenges I’ve tackled. It involved designing for both technical transparency and emotional safety, all while inventing new interaction models for digital identity. The lessons I learned about framing unfamiliar technology and respecting user control deeply inform how I now approach onboarding across projects.
More Works
©2025