Artificial intelligence enables content generation at a dizzying pace, but without a well-formed criterion, the result is visual noise. The danger is real: executing without knowing what is correct. To avoid this, six methods from master artists help develop aesthetic judgment before delegating to the machine. Criterion first, technique later.
Six master methods to sharpen your criteria before using AI 🎨
The first method is to study bad design to identify common errors. Then, teaching what you have learned consolidates knowledge. Repetition of exercises, following the Bauhaus method, trains perception. Constant feedback from peers or mentors adjusts judgment. Analyzing masterpieces breaks down their compositional decisions. Finally, recreating others' work without AI forces you to understand each step. Without this foundation, AI only amplifies mediocrity.
AI and the syndrome of the artist who can't draw a straight line ✏️
It's curious to see how some creators ask AI to generate a logo for them, but cannot distinguish between decent kerning and a typographic disaster. It's like asking a robot to cook paella when you can't tell rice from glue. AI gives you quick results, but if your critical eye is a zero, you'll get garbage with good lighting. Better to form your criteria before the machine turns you into a copy-paste genius.