Design On Demand: How Kylon Agents Create Brand-Consistent Images with GPT-Image-2

Every team needs images — blog covers, social graphics, ad creatives, presentation visuals, product mockups. The traditional path is a design request, a brief, a round of revisions, and a few days of waiting. AI image generation cut that to minutes, but introduced a new problem: consistency.

Generate ten images with any AI tool and you'll get ten different styles. Different color palettes, different typography, different visual language. None of them match your brand.

Kylon solves this. GPT-Image-2 is built into the platform, and it works alongside Kylon's brand system — a persistent set of brand tokens (colors, fonts, logo rules, visual style) that every agent references automatically. The result: on-brand images, every time, from a chat message.

How it works: GPT-Image-2 + Brand System

Kylon's image generation has two layers:

Layer 1: GPT-Image-2 via platform proxy. OpenAI's most capable image model, available to every agent with zero configuration. No OpenAI account, no API key, no per-image credits. Supports generation from text, editing existing images, and composing up to 16 reference images into a single output.

Layer 2: Brand system integration. Kylon's brand system (brand-studio skill) stores your visual identity as machine-readable tokens:

• Primary and secondary colors with exact hex values
• Typography scale and font families
• Logo usage rules (placement, minimum size, clear space)
• Visual style guidelines (illustration style, photography direction, color treatment)
• Anti-patterns (what not to do)

When your agent generates an image, it reads these tokens and incorporates them into the prompt and composition. The logo is never AI-generated — it's composited from your real logo file using Pillow, ensuring pixel-perfect accuracy. Colors are enforced. Typography follows your scale.

What this looks like in practice

You: "Create a cover image for our new blog post about customer onboarding"

Your agent:

1. Reads the blog post title and content for context
2. Reads the brand system for colors, style, and logo rules
3. Generates the base illustration with GPT-Image-2, using brand colors and visual style
4. Composites the real logo onto the image using Pillow
5. Returns the finished cover — on-brand, sized correctly (1536×1024 for blog, 1200×628 for Twitter card)

You: "Try a version with more emphasis on the dashboard UI"

Your agent:

1. Uses the first image as a reference input (-i flag)
2. Regenerates with the adjusted focus
3. Maintains the same brand style and color palette

Iteration is conversational. You don't re-explain your brand with each generation — the agent already knows it.

We use this ourselves

Every cover image on the Kylon blog — including the one at the top of this article — is generated by our own agents using this exact integration. The workflow:

1. Agent reads the article content and existing cover style references
2. Generates an illustration featuring Kylon's brand characters (the blob mascots) in a scene relevant to the article topic
3. Composites the real Kylon pinwheel logo from source files — never AI-generated
4. Produces both the 1536×1024 blog cover and the 1200×628 Twitter card variant

The result is a consistent visual library across dozens of blog posts, all produced in minutes per article with zero designer involvement.

Three use cases

1. Blog and content marketing visuals

Every article needs a cover, an OG image for social sharing, and optionally in-article illustrations. With the brand system loaded, your agent produces all three variants from one prompt, styled consistently with your existing content library. New team members don't need to learn the brand guide — the agent already has it.

2. Social ad creative production

Running A/B tests on Meta or TikTok? Your agent generates multiple creative variations at your specified dimensions (1080×1350 for feed, 1080×1920 for stories) with consistent brand treatment. Change the headline, swap the background, adjust the CTA — each variation stays on-brand because the brand tokens are baked into every generation.

3. Pitch deck and presentation visuals

Custom illustrations for investor decks or client presentations. Instead of generic stock photos, your agent generates scene-specific visuals in your brand style: market overview diagrams, product concept art, team culture illustrations. The visual language stays consistent across 30 slides because the same brand system governs every image.

Composition and editing

GPT-Image-2 on Kylon isn't just text-to-image. The agent can:

• Edit existing images — "Keep the product screenshot, replace the background with a clean studio backdrop"
• Compose from references — feed up to 16 reference images and describe the desired output
• Iterate with consistency — use a previous generation as input to maintain style across variations
• Combine AI generation with precise compositing — generate the illustration, then use Pillow to add real logos, exact text, and brand elements that need pixel-perfect accuracy

This hybrid approach — AI for the creative heavy lifting, programmatic compositing for precision elements — produces results that neither pure AI nor pure design tools achieve alone.

Brand system setup

If your workspace already has a brand system (brand-system.md), every agent reads it automatically. If not, any agent can help you create one:

1. Share your website URL, brand guidelines PDF, or a few example assets
2. The agent extracts colors, fonts, and visual patterns
3. It generates a machine-readable brand system and saves it to the workspace
4. From that point on, every image generation references those tokens

The setup takes about five minutes. The consistency improvement is permanent.

No configuration required

GPT-Image-2 runs through Kylon's platform proxy. No OpenAI account, no API key, no per-image billing to manage. The brand system is a workspace file that any agent can read. Together, they turn image generation from a creative bottleneck into a two-message conversation.

GPT-Image-2 runs through Kylon's platform proxy with zero configuration. Pair it with Kylon's brand system for automatic visual consistency across every image your team produces.