I start by understanding the theme, background, target audience, and visual context. The goal is not to design immediately, but to clarify what the work should communicate, what problem it responds to, and what kind of visual language would be appropriate.
Before moving into design, I conduct visual research, including related case studies, graphic languages, typography styles, color trends, layout systems, and media formats. AI helps me generate keywords, build moodboards, expand visual references, and test different stylistic directions.
During the concept stage, I use AI to experiment with images, compositions, styles, and visual metaphors. The generated results are not final designs. They become visual sketches and conceptual starting points that I select, judge, edit, and redesign.
I also use code to support visual implementation. Code helps me create web layouts, SVG graphics, motion effects, interactive prototypes, generative visuals, and responsive visual tests.
In some projects, I extend static visuals into video or motion-based content. This may include animated posters, short videos, motion graphics, AI-generated video, transitions, rhythm control, sound, and timing.
Once the visual direction becomes clearer, I move into graphic design development. This includes layout design, typography, graphic refinement, color control, information hierarchy, visual rhythm, and detail adjustments.
In the AI era, creative possibilities are no longer defined by past experience alone. With the right process, I can research, learn, generate, test, and build visual systems for industries I have not explored before.
