Articles about AI images: how the stock works, how to choose visuals for your projects, and how creators earn.
The signs that give generation away: hands and text, light and reflections, repeated textures, and background behavior. Plus checks beyond the picture and an honest explanation of why every checklist eventually becomes outdated.
Salons, skincare brands, and clinics need a constant supply of visuals, yet this is where an image can most easily turn into a promise of results. We explain safer scenarios, advertising-platform restrictions, and regulated claims.
How an ad shot differs from an illustration, which formats platforms require, how to assemble a test batch, spot creative fatigue in your own data, and what to check before launch.
The complete journey of one work: catalog assignment, scenario brief, contributor prompt, generation, rights purchase, follow-up moderation, pricing, and purchase. No metaphors—only how the platform actually works.
We compare two ways to get an image: an archive of existing photographs and a catalog of images created from assignments. See where each wins, how rights, price, and uniqueness differ, and how to choose for your task.
Travel visuals are needed year-round, while a season may last only weeks. We explain where generated atmosphere is honest, where documentary photography is essential, and how to build a series for a destination or season.
A listing sells through images, but not every image belongs in it. We explain where agents and developers can use ready-made visuals, what listing platforms expect from property photos, and what must never be added digitally.
Platform ratios, safe zones, when one shot can work everywhere, and when each feed needs its own—plus how to build a set of posts that shares one visual voice.
We explain why generated images contain extra objects, unnatural hands, plastic-looking textures and unsuitable compositions. Learn how to find the weak point in a prompt and fix it without rewriting everything.
An AI stock is a catalog of images created by neural networks from assignments, rather than shot with a camera. We explain where the work comes from, why a stock needs briefs, who reviews it and when, and what buyers get for their money.
Handshakes, rising charts, and stacks of coins have long since stopped saying anything. Here is what to use instead in reports, bank websites, and presentations, plus a practical image checklist.
The right aesthetic comes from observable traits: palette, light, texture, material, detail and degree of stylisation. Learn how to replace a vague style label with a precise description and maintain one visual language.
