Partfaliaz — an international platform dedicated to photographers and visual artists — sat down with CHAIPEAU for an in-depth conversation about what it takes to build a serious creative practice with generative AI. Not prompt engineering. Production engineering.

The interview traces the journey from over twenty years in user experience, interaction design, and enterprise digital transformation to building a generative AI documentary photography project that now reaches more than 175,000 followers and generates over 25 million impressions annually.

At the center of it all is a conviction that shapes everything CHAIPEAU does: the real work in AI image-making happens long before generation itself. Every production starts with rigorous pre-production research — a minimum of 15 web-verified sources per location, cataloging 30+ verified wildlife species, 20+ named locations, and specific light conditions based on latitude and month. From there, a proprietary production framework takes over — now in its sixth major version, version-controlled and changelog-driven like software engineering, because that's exactly what it is.

The conversation goes deep into the methodology: a 6-phase narrative architecture from Arrival to Departure. A structured JSON prompt framework that controls every parameter down to f-stop, Kelvin temperature, and negative space percentages. Diversity rules that have been through 88 iterations. Carousel sequencing with color temperature transitions where no Kelvin jump exceeds 2000K between slides. A Golden Reference Prompt serving as the binding quality benchmark. And a Framework Gap Audit that runs after every production to find what broke.

The interview also covers the creative philosophy behind the work — from the role of solitude and late-night walks in shaping visual ideas, to why every new CHAIPEAU production has to make the previous one feel like a rough draft. And it closes with direct advice for aspiring AI artists: start by forgetting the tool. Study the craft you're emulating. Build systems, not just images. Be your own harshest critic.

The barrier to entry in AI art is low. The barrier to excellence is exactly as high as it's always been.

Read the full interview on Partfaliaz →