Verifiable

Won two hackathons at EthCC Paris 2023, including AugmentHack with Verifiable: a decentralized AI content attribution and compensation platform. Full spec delivered and prototyped overnight.

Problem

Creators have no visibility into AI training on their content and no compensation mechanism. LLM builders have no ethical, auditable, automated sourcing channel, creating legal exposure or outdated manual licensing flows and destroying creator trust.

Solution

I designed a three-sided marketplace connecting creators, LLM builders, and verification infrastructure, with real-time attribution dashboards and compensation flows tied to verified usage.

My Role

Product & Content Designer at Weavechain (July 2023–present). Led end-to-end design of Verifiable from concept through hackathon win at EthCC Paris 2023.

The Challenge

The hackathon constraints forced sharp prioritization. Three stakeholder groups with competing needs (creators, LLM builders, and verifiers) had to be served in a single product surface within 24 hours.

Trust required radical transparency: see exactly when, how, and how much content was used
First-time creators needed to get started without account-creation friction
The product had to demonstrate the marketplace concept end-to-end, not just one role’s flow

Platform sitemap. Three-sided marketplace for creators, LLM builders, and verifiers.

What I Built

Content marketplace: Submission flows for creators to license content on their terms.
Attribution dashboard: Real-time visibility into which models are training on which content.
Compensation flows: Transparent payment tracking tied to verified usage signals.
Verification system: Cryptographic attribution to audit data provenance.
Account-free onboarding: First-time creators got a public/private keypair to save instead of creating an account, removing signup friction at the moment of strongest intent. Returning sessions resumed by importing the keypair.

Impact

Won AugmentHack Decentralized AI Hackathon at EthCC Paris 2023, one of two wins on the same trip
Validated that content-first UX significantly increased creator participation willingness
Full design spec delivered asynchronously overnight, functional prototype within 24 hours
Hackathon work validated by paying customers within two weeks. A content de-licensing flow specced but not shipped during the hackathon turned out to be a primary need for the first customer call, and the existing specs accelerated their onboarding.

Beyond Launch

Verifiable continued past the hackathon. The team landed early customers interested in using the underlying tech to power their own crowdsourcing content platforms, validating the three-sided marketplace hypothesis with real-world demand. The product is expanding from text-only to image, audio, and video content as the AI training market matures around attribution and compensation requirements.

year

2024–2025

timeline

10 months

type

B2B SaaS, Developer Tools, Onboarding, Retention

tools

Figma, GPT-4, Perplexity, Confluence, Jira, PowerBI, G-Analytics, Maze

team

3 Designers, PM, Engineering Lead, Dev Relations, Docs, VP Marketing, SVP CX

Key Takeaways

Adoption drives growthEvery flow I design is a lever for ARR and retention. Treating adoption as a strategic product layer lets companies capture the full return on their technical investments.

Content is productDocs, onboarding, and learning surfaces directly shape whether users unlock value — and whether decision-makers renew or churn.

AI optimizes returnsI use AI to unblock bottlenecks, accelerate discovery, and get more out of the team's effort so we solve problems sooner and with greater impact.

Alignment drives impactAdoption design only moves the needle with executive sponsorship. Translating design outcomes into business outcomes makes leadership treat the experience as a growth driver, not support overhead.