TRACE: AI Image Provenance Lab Built with Grok
Kyrannio · x · 2026-08-01
A developer used Grok Build to live-code TRACE, an AI image provenance lab focused on transparency. Instead of a black-box score, it uses a multi-model voting mechanism.
- Detection Mechanism: Combines three open models (SMOGY, Organika SDXL detector, umm-maybe classifier) to vote. If models strongly disagree, TRACE outputs "inconclusive" rather than faking certainty.
- Provenance Verification: Prioritizes parsing C2PA Content Credentials, combined with metadata and spectral forensics.
- Design Philosophy: Rejects black-box "99% AI" marketing scores, keeping all votes and fusion processes fully visible to the user.
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