We're in early access — onboarding jewelry brands one at a time

Research
areas

Our research spans three core areas, each focused on finding what actually works for AI jewelry photography.

  • Model Comparison

    Head-to-head testing of AI models for jewelry photography. We generate hundreds of images across FLUX, Midjourney, SDXL, and other models using identical prompts and reference images to determine which performs best for rings, necklaces, earrings, and other jewelry categories.

  • Prompt Engineering

    Systematic testing of prompt language, structure, and terminology for jewelry imagery. We compare English vs other languages, short vs detailed prompts, natural language vs structured formats, and document which approaches produce the best results.

  • Visual Control

    Testing how to control specific visual elements in AI-generated jewelry images. We experiment with angle terminology, lighting descriptions, background vocabulary, metal accuracy, and gemstone rendering to build reliable techniques for consistent results.

Research
principles

01

Real tests, real data

Every finding comes from tests we actually run. We generate hundreds of images per study, document our exact methodology, and only publish what we can prove.

02

Jewelry-specific focus

Generic AI comparisons exist. We focus specifically on jewelry — rings, necklaces, earrings — where reflections, sparkle, and fine details require specialized approaches.

03

Full transparency

We share our prompts, settings, and methodology so you can replicate our results. No black boxes. If we tested it, you can test it too.

04

Actionable findings

Research that feeds directly into templates and guides. When we find that a specific prompt structure works, it becomes a template you can use.

Want to collaborate on research?

We're always looking for e-commerce businesses to participate in studies. Get early access to insights and help shape the future of commercial AI imagery.

Join our research program