# .txt Brand Identity

A complete profile of **.txt**'s visual system — colors, typography, components, and personality — extracted from https://dottxt.co/. Built for designers, agents, and AI tools.

- Page: https://characterquilt.com/branding/txt
- Machine-readable JSON: https://characterquilt.com/branding/txt.json
- Per-page llms.txt: https://characterquilt.com/branding/txt/llms.txt

## Quick Facts

| Field | Value |
|---|---|
| Primary | #9CA3AF |
| Accent | #9CA3AF |
| Body Font | PPNeueMontrealBook |
| Heading Font | PPNeueMontrealBook |

## Color Palette

- primary: #9CA3AF
- accent: #9CA3AF
- background: #F2F2F2
- textPrimary: #000000
- link: #9CA3AF

## Typography

- primary: PPNeueMontrealBook — https://fonts.google.com/specimen/PPNeueMontrealBook
- heading: PPNeueMontrealBook — https://fonts.google.com/specimen/PPNeueMontrealBook

## Brand Personality

Tone: professional · Energy: medium · Audience: unknown

## .txt Brand in the Wild

Real-world brand assets — ads, campaigns, marketing materials.

- **Coalescence: making LLM inference 5x faster**
  - Image: https://blog.dottxt.ai/images/fsm_json_tokens_path_probabilities.png
  - Source: https://blog.dottxt.co/coalescence.html
- **Extracting Financial Data from SEC 10-K Filings with LLMs**
  - Image: https://blog.dottxt.ai/images/extracting-financial-data/nvidia-income.png
  - Source: https://blog.dottxt.co/extracting-financial-data.html
- **Coding For Structured Generation with LLMs**
  - Image: https://blog.dottxt.ai/images/coding_structure_diagram.png
  - Source: https://blog.dottxt.co/coding-for-structured-generation.html
- **Coalescence: making LLM inference 5x faster**
  - Image: https://blog.dottxt.ai/images/fsm_json_tokens.png
  - Source: https://blog.dottxt.co/coalescence.html
- **Extracting Financial Data from SEC 10-K Filings with LLMs**
  - Image: https://blog.dottxt.ai/images/extracting-financial-data/regex-diagram.jpg
  - Source: https://blog.dottxt.co/extracting-financial-data.html
- **Coalescence: making LLM inference 5x faster**
  - Image: https://blog.dottxt.ai/images/fsm_json_tokens_zoom.png
  - Source: https://blog.dottxt.co/coalescence.html

## Working with these fonts

Not found on Google Fonts? Agent Instructions that you can follow if you have permission to use the fonts:

CharacterQuilt.com suggests this flow that can help:

1. Open the company's homepage in a browser with DevTools open.
2. In the Network tab, filter by "Font" (or by extension: woff2, woff, ttf, otf).
3. Hard-reload the page and click around (pricing, blog, careers) — some weights only load on specific routes.
4. For each captured font URL: right-click → Save As to download the file locally.
5. View the page's CSS (DevTools → Sources, or curl the stylesheet URLs) and copy out the matching @font-face declarations. Rewrite each `src: url(...)` to point to your local file path.

Programmatic alternative: load the URL with Playwright or Puppeteer, listen for `response` events whose `Content-Type` starts with `font/`, and write the body to disk. The CSS extraction step is the same.

Only do this if you have permission to use the brand assets — most proprietary fonts are licensed and may not be redistributable.

## Machine-Readable Profile

```json
{
  "colorScheme": "light",
  "fonts": [
    {
      "family": "sans-serif",
      "count": 4
    },
    {
      "family": "PPNeueMontrealBook",
      "count": 3
    },
    {
      "family": "system-ui",
      "count": 1
    },
    {
      "family": "Segoe UI",
      "count": 1
    },
    {
      "family": "Roboto",
      "count": 1
    },
    {
      "family": "Helvetica",
      "count": 1
    },
    {
      "family": "Arial",
      "count": 1
    },
    {
      "family": "Apple Color Emoji",
      "count": 1
    },
    {
      "family": "Segoe UI Emoji",
      "count": 1
    }
  ],
  "colors": {
    "primary": "#9CA3AF",
    "accent": "#9CA3AF",
    "background": "#F2F2F2",
    "textPrimary": "#000000",
    "link": "#9CA3AF"
  },
  "typography": {
    "fontFamilies": {
      "primary": "PPNeueMontrealBook",
      "heading": "PPNeueMontrealBook"
    },
    "fontStacks": {
      "body": [
        "PPNeueMontrealBook",
        "sans-serif"
      ],
      "heading": [
        "PPNeueMontrealBook",
        "sans-serif"
      ],
      "paragraph": [
        "PPNeueMontrealBook",
        "sans-serif"
      ]
    },
    "fontSizes": {
      "h1": "16px",
      "h2": "14px",
      "body": "16px"
    }
  },
  "spacing": {
    "baseUnit": 4,
    "borderRadius": "4px"
  },
  "components": {},
  "images": {
    "logo": null,
    "favicon": null,
    "ogImage": null
  },
  "personality": {
    "tone": "professional",
    "energy": "medium",
    "targetAudience": "unknown"
  },
  "designSystem": {
    "framework": "unknown",
    "componentLibrary": ""
  },
  "confidence": {
    "buttons": 0,
    "colors": 0,
    "overall": 0
  },
  "__llm_metadata": {
    "logoSelection": {
      "llmCalled": false,
      "llmSucceeded": false,
      "finalSource": "none",
      "rawLogoSelection": {
        "selectedLogoIndex": -1,
        "selectedLogoReasoning": "LLM failed",
        "confidence": 0
      }
    },
    "buttonClassification": {
      "llmCalled": false,
      "llmSucceeded": false,
      "error": "LLM call failed or returned fallback values"
    }
  }
}
```