dmodel.json
dmodel Brand Identity
A complete profile of dmodel's visual system — colors, typography, components, and personality — extracted from https://www.dmodel.ai. Built for designers, agents, and AI tools.
- Page: https://characterquilt.com/branding/dmodel
- Machine-readable JSON: https://characterquilt.com/branding/dmodel.json
- Per-page llms.txt: https://characterquilt.com/branding/dmodel/llms.txt
Quick Facts
| Field | Value |
|---|---|
| Primary | #CCEBCC |
| Accent | #CCEBCC |
| Body Font | Segoe UI |
| Heading Font | Segoe UI |
Color Palette
- primary: #CCEBCC
- accent: #CCEBCC
- background: #FFFFFF
- textPrimary: #000000
- link: #2B6E2B
Typography
- primary: Segoe UI — https://fonts.google.com/specimen/Segoe+UI
- heading: Segoe UI — https://fonts.google.com/specimen/Segoe+UI
Visual Assets
- Social card (og:image): d_model.png
UI Components
- buttonPrimary: background=#CCEBCC, textColor=#000000, borderRadius=0px, shadow=none
- buttonSecondary: background=#F9F8F8, textColor=#000000, borderRadius=0px, shadow=none
Brand Personality
Tone: professional · Energy: medium · Audience: AI researchers and developers
dmodel Brand in the Wild
Real-world brand assets — ads, campaigns, marketing materials.
- Steering Characters with Interpretability
- Image:
- Source: Link
- How Language Models Understand Nullability
- Image:
- Source: Link
- Steering Characters with Interpretability
- Image:
- Source: Link
- Steering Characters with Interpretability
- Image:
- Source: Link
- Inside the CodeBot: A Gentle Introduction to How LLMs Understand Nullability
- Image:
- Source: Link
- Inside the CodeBot: A Gentle Introduction to How LLMs Understand Nullability
- Image:
- Source: Link
Working with these fonts
Machine-Readable Profile
{
"colorScheme": "light",
"fonts": [
{
"family": "Segoe UI",
"role": "body"
},
{
"family": "Roboto",
"role": "body"
},
{
"family": "Computer Modern Serif",
"role": "unknown"
}
],
"colors": {
"primary": "#CCEBCC",
"accent": "#CCEBCC",
"background": "#FFFFFF",
"textPrimary": "#000000",
"link": "#2B6E2B"
},
"typography": {
"fontFamilies": {
"primary": "Segoe UI",
"heading": "Segoe UI"
},
"fontStacks": {
"heading": [
"Computer Modern Serif"
],
"body": [
"-apple-system",
"BlinkMacSystemFont",
"Segoe UI",
"Roboto",
"sans-serif"
],
"paragraph": [
"-apple-system",
"BlinkMacSystemFont",
"Segoe UI",
"Roboto",
"sans-serif"
]
},
"fontSizes": {
"h1": "42px",
"h2": "14px",
"body": "14px"
}
},
"spacing": {
"baseUnit": 4,
"borderRadius": "0px"
},
"components": {
"buttonPrimary": {
"background": "#CCEBCC",
"textColor": "#000000",
"borderRadius": "0px",
"borderRadiusCorners": {
"topLeft": "0px",
"topRight": "0px",
"bottomRight": "0px",
"bottomLeft": "0px"
},
"shadow": "none"
},
"buttonSecondary": {
"background": "#F9F8F8",
"textColor": "#000000",
"borderRadius": "0px",
"borderRadiusCorners": {
"topLeft": "0px",
"topRight": "0px",
"bottomRight": "0px",
"bottomLeft": "0px"
},
"shadow": "none"
}
},
"images": {
"logo": null,
"favicon": null,
"ogImage": "d_model.png"
},
"__llm_button_reasoning": {
"primary": {
"index": 0,
"text": "How Language Models Understand Nullability\n Sanchez-Stern and Tondwalkar, 2025\n \n ",
"reasoning": "Button #0 has a vibrant green background (#CCEBCC), which is more eye-catching and aligns with typical primary CTA colors. The text also suggests a significant piece of content, making it a strong candidate for primary action."
},
"secondary": {
"index": 1,
"text": "Steering Characters with Interpretability\n \n We think you can make better characters",
"reasoning": "Button #1 has a different background color (#F9F8F8) and serves as a secondary action with less vibrant color, fitting the secondary role."
},
"confidence": 0.95
},
"personality": {
"tone": "professional",
"energy": "medium",
"targetAudience": "AI researchers and developers"
},
"designSystem": {
"framework": "custom",
"componentLibrary": ""
},
"confidence": {
"buttons": 0.95,
"colors": 0.9,
"overall": 0.925
},
"__llm_metadata": {
"logoSelection": {
"llmCalled": false,
"llmSucceeded": false,
"finalSource": "none"
},
"buttonClassification": {
"llmCalled": true,
"llmSucceeded": true
}
}
}