ArtPrompts Generator is made by a small, independent editorial team. We are not a large company — just three people who spend a great deal of time generating images, breaking prompts apart to see how they work, and writing down what we learn. Everything you read here is written or reviewed by the people below.
Elena Vasquez — Founder & Creative Director
Elena founded ArtPrompts Generator after a decade art-directing campaigns and a growing obsession with what generative models could do in the right hands. She writes about turning a vague idea into a prompt that actually lands, and she sets the site’s standard: test every technique before it gets published. Her background is in visual direction — composition, colour, mood — and that lens shapes how we talk about prompting here. She is less interested in magic keyword lists than in helping you describe what you actually want. Elena oversees editorial direction and reviews the guides for accuracy and tone.
Kai Nakamura — Lead Prompt Engineer
Kai breaks down the technical side of image models — samplers, CFG, token weighting, negative prompts and the quiet settings that change everything. A former ML engineer, he is happiest when a fiddly workflow finally becomes a two-line recipe anyone can follow. When a technique in one of our guides depends on a specific parameter or model behaviour, Kai is usually the one who pinned down why it works. He leads the technical testing behind our recommendations and maintains the parameter references in the prompt generator.
Noah Bennett — Staff Writer
Noah writes the guides and prompt libraries. He has generated tens of thousands of images across Midjourney and Niji, and specialises in the practical stuff: which style keywords actually do what, and how to hold a consistent look shot after shot. If you have ever wanted a prompt that reads like plain English but still produces a coherent series, that is Noah’s territory. He turns the team’s testing into walkthroughs you can follow without a background in machine learning.
How we work together
Guides usually start with a question one of us couldn’t answer cleanly — why does this model ignore a colour, how do you keep a face consistent, what does that parameter really do. We generate images to find out, compare results across models, and only then write it up. Elena reviews for clarity and honesty, Kai checks the technical claims, and Noah shapes it into something readable. You can see the full process on our How We Test and Editorial Policy pages, and reach any of us through our contact page.