When you think of an ad, you might picture a single polished image. But real ad design is far more nuanced—it's a composition of product images, text, brand elements, and constraints that all need to fit together perfectly. Traditional diffusion-based image generation can’t easily handle these layered details. That’s why we’re building a Design Agent that thinks like a designer, not just a painter.
The Hidden Complexity of an Image Ad
- Layers & Overlaps: Products, headlines, CTA buttons, logos, and backgrounds must all work together. If the background is busy, the agent needs to find negative space for text to stay legible.
- Fixed Canvas: Ads don’t scroll or expand like a typical UI. Everything has to fit in one frame without feeling crowded. Need to add a new discount banner? The composition needs to be rebalanced.
- Brand Consistency: Colors, fonts, and layout must align with strict brand guidelines—every ad is unique, but still “on-brand.”
- Aesthetic Nuances: Even small tweaks, like changing where text wraps or how large the product appears, can drastically alter the overall feel.
Our Agentic Approach
- Structured Canvas: We break down the ad in a JSON-like schema—identifying product zones, text areas, brand elements, and available space.
- Iterative Design Loop: The agent proposes a layout, evaluates its readability and aesthetics, then refines iteratively.
- Brand-Aware Intelligence: Through prompt tuning and training, the agent learns to respect brand rules—color palettes, font choices, and visual style.
- Dynamic Adaptation: Need to add a new discount banner? The agent analyzes the current composition and rebalances the entire layout on the fly.
🚀 Join Us in Building the Future of Design →
If you’re excited about merging creativity with cutting-edge AI, come help us push the boundaries of automated graphic design.