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extracted · 39 artefacts

notion.so

Live extraction of https://notion.so — tokens, emitters, anatomy, icons, voice, motion, MCP server, AGENTS.md, prompt pack and a 13-chapter brand book. Generated with one command.

18colors
Aaf0
vs design-extractor.com

They surface 4 sections per brand (DESIGN.md · Tailwind · CSS · Tokens). designlang ships 39 artefacts for notion.so and renders 12+ sections below.

See full comparison ↗
4,951 charsbrand book ↗
---
site: "The AI workspace that works for you. | Notion"
url: "https://notion.so"
generated_at: "2026-05-21T11:47:01.491Z"
generator: "designlang@12.14.0"
intent: landing
material: material-you
tokens:
  colors:
    primary: "#455dd3"
    secondary: "#0075de"
    accent: "#213183"
    background: "#ffffff"
    foreground: "#000000"
  typography:
    sans: NotionInter
    base: 14
  spacing:
    base: 2
    scale: "[2, 20, 24, 28, 32, 40, 44, 48, 56, 60]"
  radii:
    sm: 4
    md: 8
    lg: 16
    full: 100
  shadows:
    xs: "rgba(0, 0, 0, 0.016) 0px 0.7px 1.462px 0px, rgba(0, 0, 0, 0.03) 0px 3px 9px 0px"
    sm: "rgba(0, 0, 0, 0.01) 0px 1px 3px 0px, rgba(0, 0, 0, 0.02) 0px 3px 7px 0px, rgba(0, 0, 0, 0.02) 0px 7px 15px 0px, rgba(0, 0, 0, 0.04) 0px 14px 28px 0px, rgba(0, 0, 0, 0.05) 0px 23px 52px 0px"
---

# Overview

A **landing** page (heuristic confidence 0.61), dressed in **material-you** material (0.45).

> "Meet the night shift."

The author writes in a **friendly** voice; headings tend to be **Sentence case** case and **balanced**.

Reading order detected on the source: `cta → nav → nav → steps → testimonial → bento → bento → bento → content → bento → bento → bento → bento → bento → bento → bento → bento → hero → testimonial → footer → nav`.

Source: <https://notion.so>.

# Colors

| role | hex | usage |
|---|---|---|
| primary | `#455dd3` | 2 |
| secondary | `#0075de` | 31 |
| accent | `#213183` | 1 |
| background | `#ffffff` | — |
| foreground | `#000000` | — |

**Neutrals:** `#000000` · `#f6f5f4` · `#a39e98` · `#ffffff` · `#615d59`

**Total unique colors detected:** 30.

# Typography

**Families**
- `NotionInter` · 1565 uses
- `Times` · 5 uses
- `Lyon Text` · 2 uses

**Body size:** `14px` / line-height `20px`.

**Heading scale**
| level | size | weight | line-height |
|---|---|---|---|
| h1 | `64px` | `700` | `64px` |
| h2 | `54px` | `700` | `56px` |
| h3 | `26px` | `700` | `32px` |
| h4 | `22px` | `700` | `28px` |

# Layout

**Spacing base:** `2px` increments.
**Scale:** `2px` · `20px` · `24px` · `28px` · `32px` · `40px` · `44px` · `48px` · `56px` · `60px`

**Layout primitives:** 122 grid containers · 258 flex containers.

**Breakpoints:** `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px` · `[object Object]px`

# Elevation and Depth

**Shadow scale**
- `xs` — `rgba(0, 0, 0, 0) 0px 1px 0px 0px`
- `xs` — `rgba(0, 0, 0, 0.01) 0px 0.175px 1.041px 0px, rgba(0, 0, 0, 0.02) 0px 0.8px 2.925px 0px, rgba(0, 0, 0, 0.027) 0px 2.025px 7.847px 0px, rgba(0, 0, 0, 0.04) 0px 4px 18px 0px`
- `xs` — `rgba(0, 0, 0, 0.016) 0px 0.7px 1.462px 0px, rgba(0, 0, 0, 0.03) 0px 3px 9px 0px`
- `sm` — `rgba(0, 0, 0, 0.01) 0px 1px 3px 0px, rgba(0, 0, 0, 0.02) 0px 3px 7px 0px, rgba(0, 0, 0, 0.02) 0px 7px 15px 0px, rgba(0, 0, 0, 0.04) 0px 14px 28px 0px, rgba(0, 0, 0, 0.05) 0px 23px 52px 0px`
- `sm` — `rgba(0, 0, 0, 0.01) 0px 0.667px 3.502px 0px, rgba(0, 0, 0, 0.016) 0px 2.933px 7.252px 0px, rgba(0, 0, 0, 0.02) 0px 7.2px 14.462px 0px, rgba(0, 0, 0, 0.024) 0px 13.867px 28.348px 0px, rgba(0, 0, 0, 0.03) 0px 23.333px 52.123px 0px, rgba(0, 0, 0, 0.04) 0px 36px 89px 0px`
- `lg` — `rgba(255, 255, 255, 0.2) 0px 0px 20px 5px`

**Z-index layers:** 9 · ⚠ 1 issue(s)

# Shapes

**Radius scale**
- `sm` — `4px`
- `md` — `8px`
- `lg` — `12px`
- `lg` — `16px`
- `full` — `50px`
- `full` — `100px`

# Components

**Detected patterns:** `buttons` · `cards` · `inputs` · `links` · `navigation` · `footer` · `modals` · `dropdowns` · `badges` · `tabs` · `accordions` · `progressBars` · `switches`

**Anatomy**
| kind | variants | sizes | instances |
|---|---|---|---|
| button | — | — | 39 |
| card | — | lg | 15 |
| link | — | — | 5 |

# Do's and Don'ts

**Do's**
- Use `download`, `get`, `english` as the primary verbs in CTAs — these dominate the source.
- Write headings in **Sentence case** case, **balanced** length.
- Address the reader with the pronoun posture **you-only**.
- Stay inside the **material-you** material — match shadow and radius habits.

**Don'ts**
- Don't ship copy on the colors flagged in accessibility — 1 contrast pair(s) fail WCAG AA on the source itself.
- Don't 1 wcag contrast failures.
- Don't 9 !important rules — prefer specificity over overrides.
- Don't 7410 duplicate css declarations.

---
_Generated by [designlang](https://github.com/Manavarya09/design-extract) v12.14.0 from <https://notion.so>._
_Compatible with the DESIGN.md convention pioneered by [design-extractor.com](https://www.design-extractor.com) — extended with intent, material, voice, anatomy, and library detection._

Typography

NotionInter
The quick brown fox jumps
display · 56px / 600
The quick brown fox jumps
headline · 36px / 500
The quick brown fox jumps
subhead · 22px / 400
The quick brown fox jumps
body · 16px / 400
The quick brown fox jumps
caption · 12px / 500 · uppercase

Voice

Tone, CTA verbs, headlines and pronoun stance — pulled from the live page.

tone · friendly · you-only

top CTA verbs

download×3get×2english×2product×1ai×1solutions×1resources×1request×1

motionlang

Motion Lab

Every easing curve and duration notion.so ships, drawn and replayed live. Export them as Framer Motion presets from the motion.framer.js tab above.

easing curves · 4

ease-in-out
ease
linear
linear
easing-3
cubic-bezier(0.45, 0, 0.55, 1)
easing-4
cubic-bezier(0.645, 0.045, 0.355, 1)

durations · 3

instant75ms
xs100ms
sm200ms

Component anatomy

Typed React stubs — variants, slots and props detected from clustered DOM patterns.

1,029 chars · TypeScript
// Auto-generated by designlang — component anatomy v2.
// Scaffolds. Wire into your token system; not a runtime library.

import * as React from 'react';

export interface ButtonProps {
  variant?: 'default';
  size?: 'md';
  leadingIcon?: React.ReactNode;
  children?: React.ReactNode;
}

export function Button({ variant = 'default', size = 'md', ...rest }: ButtonProps) {
  return React.createElement('button', { 'data-variant': variant, 'data-size': size, ...rest });
}

export interface CardProps {
  variant?: 'default';
  size?: 'lg';
  children?: React.ReactNode;
}

export function Card({ variant = 'default', size = 'md', ...rest }: CardProps) {
  return React.createElement('div', { 'data-variant': variant, 'data-size': size, ...rest });
}

export interface LinkProps {
  variant?: 'default';
  size?: 'md';
  children?: React.ReactNode;
}

export function Link({ variant = 'default', size = 'md', ...rest }: LinkProps) {
  return React.createElement('a', { 'data-variant': variant, 'data-size': size, ...rest });
}

Icon system

SVG icon census — count, style mix, grid and stroke profile.

69
total icons
0
stroke-only
63
fill-only
2.67
avg stroke
library

Agent prompt

One self-contained system prompt with every notion.so token, anatomy slot and voice rule. Drop it into any AI agent and it builds in this brand without hallucinating.

paste into Claude · GPT · Cursor · Windsurf · v0
# You are building UI in the notion.so design system.

Source: https://notion.so
Extracted by designlang on 2026-05-21.

## Brand at a glance

- title         The AI workspace that works for you. | Notion
- page intent   landing
- material      material-you
- design grade  B

## Colour

- primary     #455dd3
- secondary   #0075de
- accent      #213183
- neutrals    #000000 · #f6f5f4 · #a39e98 · #ffffff · #615d59 · #78736f

## Typography

- families   NotionInter · Times · Lyon Text
- weights    400 · 500 · 700 · 600
- base size  16px

## Spacing

- scale      2px · 20px · 24px · 28px · 32px · 40px · 44px · 48px · 56px · 60px · 64px · 78px

## Radii

- scale      4px · 8px · 12px · 16px · 50px · 100px

## Motion

- durations  75ms · 100ms · 200ms

## Voice

- tone       friendly
- pronoun    you-only
- headings   Sentence case
- CTA verbs  download · get · english · product · ai · solutions

## Component anatomy

- button     variants: [object Object]  ·  slots: true · true · false
- card       variants: [object Object]  ·  slots: true · false · true · false
- link       variants: [object Object]  ·  slots: —

## Accessibility

- WCAG score 92% · failing pairs: 1

## Build rules

1. Use the colours above. **Never invent a new hex.** If you need a
   shade between two existing colours, derive it via HSL adjustment
   from the closest extracted colour and call out the derivation.
2. Use the extracted typography families. If you need a missing weight,
   pick the nearest available weight from the list and note it.
3. Snap spacing values to the scale above. No off-scale paddings or
   margins.
4. Snap border radii to the scale above.
5. Match the voice: same tone, same pronoun stance, same heading
   style. Reuse the listed CTA verbs.
6. Aim for WCAG AA contrast minimum. When the brand colours fail,
   prefer the foreground colour on the background colour rather than
   mid-tone neutrals.
7. Reuse component anatomy when it exists — do not invent novel
   structures for things the site already has.

## Available context files

designlang wrote these alongside this prompt. Reach for them when
you need ground truth:

- `<host>-design-tokens.json` — DTCG primitive · semantic · composite tokens
- `<host>-tailwind.config.js`  — Tailwind v3 config
- `<host>-tailwind-v4.css`     — Tailwind v4 `@theme` block
- `<host>-tokens.d.ts`         — TypeScript literal-union types
- `<host>-variables.css`       — bare CSS custom properties
- `<host>-reset.css`           — brand-aware base styles
- `<host>-gradients.css`       — `.grad-N` utility classes
- `<host>-anatomy.tsx`         — typed React component scaffolds
- `<host>-shadcn-theme.css`    — shadcn/ui theme
- `<host>-theme.js`            — React / Vue / Svelte theme object
- `<host>-mcp.json`            — MCP server payload (load via stdio)
- `<host>.brand.pdf`           — print-ready 13-chapter brand book

When you reference the system in code, prefer importing from these
files over hard-coding values.

## Output expectations

When asked to "build a pricing page" or "make a card" or any UI:

- Produce a single self-contained component file in the appropriate
  framework (React / Vue / Svelte — match what the user is using).
- Use Tailwind utility classes wired to the v4 `@theme` if Tailwind
  is available; otherwise use the CSS custom properties from
  `variables.css`.
- Write the headline copy using the brand voice; do not invent
  generic Lorem.
- Annotate any choice where you had to bend the system, with a
  one-line `// note:` comment explaining what and why.

## One-line install

```bash
npx designlang notion.so
```

Run this against any other URL to extract its system in the same
shape as the one above.

---

Generated by designlang. Re-extract by running `npx designlang notion.so`.
Drop this in any AI agent. It will build UI in the notion.so brand without hallucinating colours, fonts or component shapes.

MCP / Agent rules

The same payload the stdio MCP server hands to Claude Code, Cursor and Windsurf. Wire it into your editor and the agent answers brand-system questions with the actual extraction — not a guess.

How to wire MCP →npx designlang mcp --url https://notion.so
{
  "colors": {
    "all": [
      {
        "hex": "#000000",
        "rgb": {
          "r": 0,
          "g": 0,
          "b": 0,
          "a": 0.95
        },
        "hsl": {
          "h": 0,
          "s": 0,
          "l": 0
        },
        "count": 2143,
        "contexts": [
          "text",
          "border",
          "background"
        ]
      },
      {
        "hex": "#f6f5f4",
        "rgb": {
          "r": 246,
          "g": 245,
          "b": 244,
          "a": 1
        },
        "hsl": {
          "h": 30,
          "s": 10,
          "l": 96
        },
        "count": 388,
        "contexts": [
          "text",
          "border",
          "background"
        ]
      },
      {
        "hex": "#a39e98",
        "rgb": {
          "r": 163,
          "g": 158,
          "b": 152,
          "a": 1
        },
        "hsl": {
          "h": 33,
          "s": 6,
          "l": 62
        },
        "count": 202,
        "contexts": [
          "text",
          "border"
        ]
      },
      {
        "hex": "#ffffff",
        "rgb": {
          "r": 255,
          "g": 255,
          "b": 255,
          "a": 1
        },
        "hsl": {
          "h": 0,
          "s": 0,
          "l": 100
        },
        "count": 171,
        "contexts": [
          "background",
          "text",
          "border"
        ]
      },
      {
        "hex": "#615d59",
        "rgb": {
          "r": 97,
          "g": 93,
          "b": 89,
          "a": 1
        },
        "hsl": {
          "h": 30,
          "s": 4,
          "l": 36
        },
        "count": 48,
        "contexts": [
          "text",
          "border"
        ]
      },
      {
        "hex": "#0075de",
        "rgb": {
          "r": 0,
          "g": 117,
          "b": 222,
          "a": 1
        },
        "hsl": {
          "h": 208,
          "s": 100,
          "l": 44
        },
        "count": 31,
        "contexts": [
          "text",
          "border",
          "background"
        ]
      },
      {
        "hex": "#097fe8",
        "rgb": {
          "r": 9,
          "g": 127,
          "b": 232,
          "a": 1
        },
        "hsl": {
          "h": 208,
          "s": 93,
          "l": 47
        },
        "count": 25,
        "contexts": [
          "background",
          "text",
          "border"
        ]
      },
      {
        "hex": "#62aef0",
        "rgb": {
          "r": 98,
          "g": 174,
          "b": 240,
          "a": 1
        },
        "hsl": {
          "h": 208,
          "s": 83,
          "l": 66
        },
        "count": 25,
        "contexts": [
          "text",
          "border",
          "background"
        ]
      },
      {
        "hex": "#f64932",
        "rgb": {
          "r": 246,
          "g": 73,
          "b": 50,
          "a": 1
        },
        "hsl": {
          "h": 7,
          "s": 92,
          "l": 58
        },
        "count": 18,
        "contexts": [
          "text",
          "border",
          "background"
        ]
      },
      {
        "hex": "#9c7054",
        "rgb": {
          "r": 156,
          "g": 112,
          "b": 84,
          "a": 1
        },
        "hsl": {
          "h": 23,
          "s": 30,
          "l": 47
        },
        "count": 16,
        "contexts": [
          "text",
          "border"
        ]
      },
      {
        "hex": "#ff6d00",
        "rgb": {
          "r": 255,
          "g": 109,
          "b": 0,
          "a": 1
        },
        "hsl": {
          "h": 26,
          "s": 100,
          "l": 50
        },
        "count": 16,
        "contexts": [
          "text",
          "border"
        ]
      },
      {
        "hex": "#78736f",
        "rgb": {
          "r": 120,
          "g": 115,
          "b": 111,
          "a": 1
        },
        "hsl": {
          "h": 27,
          "s": 4,
          "l": 45
        },
        "count": 14,
        "contexts": [
          "text",
          "border"
        ]
      },
      {
        "hex": "#9849e8",
        "rgb": {
          "r": 152,
          "g": 73,
          "b": 232,
          "a": 1
        },
        "hsl": {
          "h": 270,
          "s": 78,
          "l": 60
        },
        "count": 12,
        "contexts": [
          "text",
          "border"
        ]
      },
      {
        "hex": "#ffb110",
        "rgb": {
          "r": 255,
          "g": 177,
          "b": 16,
          "a": 1
        },
        "hsl": {
          "h": 40,
          "s": 100,
          "l": 53
        },
        "count": 12,
        "contexts": [
          "text",
          "border",
          "background"
        ]
      },
      {
        "hex": "#27918d",
        "rgb": {
          "r": 39,
          "g": 145,
          "b": 141,
          "a": 1
        },
        "hsl": {
          "h": 178,
          "s": 58,
          "l": 36
        },
        "count": 8,
        "contexts": [
          "text",
          "border"
        ]
      },
      {
        "hex": "#02093a",
        "rgb": {
          "r": 2,
          "g": 9,
          "b": 58,
          "a": 1
        },
        "hsl": {
          "h": 233,
          "s": 93,
          "l": 12
        },
        "count": 6,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#2a9d99",
        "rgb": {
          "r": 42,
          "g": 157,
          "b": 153,
          "a": 1
        },
        "hsl": {
          "h": 178,
          "s": 58,
          "l": 39
        },
        "count": 3,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#191918",
        "rgb": {
          "r": 25,
          "g": 25,
          "b": 24,
          "a": 1
        },
        "hsl": {
          "h": 60,
          "s": 2,
          "l": 10
        },
        "count": 2,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#455dd3",
        "rgb": {
          "r": 69,
          "g": 93,
          "b": 211,
          "a": 1
        },
        "hsl": {
          "h": 230,
          "s": 62,
          "l": 55
        },
        "count": 2,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#ffc95e",
        "rgb": {
          "r": 255,
          "g": 201,
          "b": 94,
          "a": 1
        },
        "hsl": {
          "h": 40,
          "s": 100,
          "l": 68
        },
        "count": 2,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#f77463",
        "rgb": {
          "r": 247,
          "g": 116,
          "b": 99,
          "a": 1
        },
        "hsl": {
          "h": 7,
          "s": 90,
          "l": 68
        },
        "count": 2,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#ad6ded",
        "rgb": {
          "r": 173,
          "g": 109,
          "b": 237,
          "a": 1
        },
        "hsl": {
          "h": 270,
          "s": 78,
          "l": 68
        },
        "count": 2,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#ff8a33",
        "rgb": {
          "r": 255,
          "g": 138,
          "b": 51,
          "a": 1
        },
        "hsl": {
          "h": 26,
          "s": 100,
          "l": 60
        },
        "count": 2,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#ff83dd",
        "rgb": {
          "r": 255,
          "g": 131,
          "b": 221,
          "a": 1
        },
        "hsl": {
          "h": 316,
          "s": 100,
          "l": 76
        },
        "count": 2,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#b18164",
        "rgb": {
          "r": 177,
          "g": 129,
          "b": 100,
          "a": 1
        },
        "hsl": {
          "h": 23,
          "s": 33,
          "l": 54
        },
        "count": 2,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#fff5e0",
        "rgb": {
          "r": 255,
          "g": 245,
          "b": 224,
          "a": 1
        },
        "hsl": {
          "h": 41,
          "s": 100,
          "l": 94
        },
        "count": 1,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#213183",
        "rgb": {
          "r": 33,
          "g": 49,
          "b": 131,
          "a": 1
        },
        "hsl": {
          "h": 230,
          "s": 60,
          "l": 32
        },
        "count": 1,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#1aae39",
        "rgb": {
          "r": 26,
          "g": 174,
          "b": 57,
          "a": 1
        },
        "hsl": {
          "h": 133,
          "s": 74,
          "l": 39
        },
        "count": 1,
        "contexts": [
          "background"
        ]
      },
      {
        "hex": "#c0c0c0",
        "rgb": {
          "r": 192,
          "g": 192,
          "b": 192,
          "a": 1
        },
        "hsl": {
          "h": 0,
          "s": 0,
          "l": 75
        },
        "count": 1,
        "contexts": [
          "border"
        ]
      },
      {
        "hex": "#dddddd",
        "rgb": {
          "r": 221,
          "g": 221,
          "b": 221,
          "a": 1
        },
        "hsl": {
          "h": 0,
          "s": 0,
          "l": 87
        },
        "count": 1,
        "contexts": [
          "border"
        ]
      }
    ]
  },
  "regions": [
    {
      "role": "nav",
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Prompt pack

Paste-ready prompts pre-loaded with the notion.so system. Generators (v0, Lovable, Cursor, Claude Artifacts) and per-component recipes (button, card).

v01,708 chars
Build a landing page with this exact visual language.
COLORS:
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  #9849e8
  #ffb110
FONTS: [object Object], [object Object], [object Object]
SPACING: 2, 20, 24, 28, 32, 40, 44, 48
RADIUS: 4, 8, 12, 16, 50, 100
SHADOWS: rgba(0, 0, 0, 0) 0px 1px 0px 0px | rgba(0, 0, 0, 0.01) 0px 0.175px 1.041px 0px, rgba(0, 0, 0, 0.02) 0px 0.8px 2.925px 0px, rgba(0, 0, 0, 0.027) 0px 2.025px 7.847px 0px, rgba(0, 0, 0, 0.04) 0px 4px 18px 0px | rgba(0, 0, 0, 0.016) 0px 0.7px 1.462px 0px, rgba(0, 0, 0, 0.03) 0px 3px 9px 0px
MATERIAL LANGUAGE: material-you
VOICE: Tone: friendly · Headings: Sentence case · CTA verbs: [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]
SECTIONS (in order):
- cta
- steps — heading: "Meet the night shift."
- testimonial — heading: "Meet the night shift."
- bento — heading: "Keep work moving 24/7."
- bento — heading: "Automate repetitive work for your team."
- bento — heading: "Automate repetitive work for your team."
- bento — heading: "Ask your on-demand assistants."
- bento — heading: "You assign the tasks. Notion Agent does the work."
- bento — heading: "One search for everything."
- bento — heading: "Perfect notes, every time."
- bento — heading: "Bring all your work together."
- bento — heading: "Simple and powerful."
- bento — heading: "One source of truth for teams and agents."
- bento — heading: "Less tracking. More progress."
- hero — heading: "Trusted by teams that ship."
- testimonial — heading: "Try for free."
- footer
Use Tailwind. Match these tokens exactly. Keep the material language consistent.
Lovable1,544 chars
Clone the design language of this landing page and build a fresh equivalent.
Visual feel: material-you. Tone: friendly · Headings: Sentence case · CTA verbs: [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]
Primary palette: #000000, #f6f5f4, #a39e98, #ffffff, #615d59.
Typography: [object Object], [object Object], [object Object].
Corner radius vocabulary: 4, 8, 12, 16, 50, 100.
Shadow vocabulary: rgba(0, 0, 0, 0) 0px 1px 0px 0px | rgba(0, 0, 0, 0.01) 0px 0.175px 1.041px 0px, rgba(0, 0, 0, 0.02) 0px 0.8px 2.925px 0px, rgba(0, 0, 0, 0.027) 0px 2.025px 7.847px 0px, rgba(0, 0, 0, 0.04) 0px 4px 18px 0px | rgba(0, 0, 0, 0.016) 0px 0.7px 1.462px 0px, rgba(0, 0, 0, 0.03) 0px 3px 9px 0px.
Page structure:
- cta
- steps — heading: "Meet the night shift."
- testimonial — heading: "Meet the night shift."
- bento — heading: "Keep work moving 24/7."
- bento — heading: "Automate repetitive work for your team."
- bento — heading: "Automate repetitive work for your team."
- bento — heading: "Ask your on-demand assistants."
- bento — heading: "You assign the tasks. Notion Agent does the work."
- bento — heading: "One search for everything."
- bento — heading: "Perfect notes, every time."
- bento — heading: "Bring all your work together."
- bento — heading: "Simple and powerful."
- bento — heading: "One source of truth for teams and agents."
- bento — heading: "Less tracking. More progress."
- hero — heading: "Trusted by teams that ship."
- testimonial — heading: "Try for free."
- footer
Cursor1,671 chars
# Design brief
Page type: **landing**.
Material language: **material-you**.
Voice: Tone: friendly · Headings: Sentence case · CTA verbs: [object Object], [object Object], [object Object], [object Object], [object Object], [object Object].
## Tokens
```ts
export const tokens = {
  colors: ['#000000', '#f6f5f4', '#a39e98', '#ffffff', '#615d59', '#0075de', '#097fe8', '#62aef0', '#f64932', '#9c7054', '#ff6d00', '#78736f', '#9849e8', '#ffb110'],
  fonts: ['[object Object]', '[object Object]', '[object Object]'],
  radii: ['4', '8', '12', '16', '50', '100'],
  shadows: ['rgba(0, 0, 0, 0) 0px 1px 0px 0px', 'rgba(0, 0, 0, 0.01) 0px 0.175px 1.041px 0px, rgba(0, 0, 0, 0.02) 0px 0.8px 2.925px 0px, rgba(0, 0, 0, 0.027) 0px 2.025px 7.847px 0px, rgba(0, 0, 0, 0.04) 0px 4px 18px 0px', 'rgba(0, 0, 0, 0.016) 0px 0.7px 1.462px 0px, rgba(0, 0, 0, 0.03) 0px 3px 9px 0px'],
};
```
## Sections
- cta
- steps — heading: "Meet the night shift."
- testimonial — heading: "Meet the night shift."
- bento — heading: "Keep work moving 24/7."
- bento — heading: "Automate repetitive work for your team."
- bento — heading: "Automate repetitive work for your team."
- bento — heading: "Ask your on-demand assistants."
- bento — heading: "You assign the tasks. Notion Agent does the work."
- bento — heading: "One search for everything."
- bento — heading: "Perfect notes, every time."
- bento — heading: "Bring all your work together."
- bento — heading: "Simple and powerful."
- bento — heading: "One source of truth for teams and agents."
- bento — heading: "Less tracking. More progress."
- hero — heading: "Trusted by teams that ship."
- testimonial — heading: "Try for free."
- footer
Claude Artifacts1,493 chars
Create a React artifact that reproduces this brand's design language.
Page intent: landing.
Material language: material-you.
Voice: Tone: friendly · Headings: Sentence case · CTA verbs: [object Object], [object Object], [object Object], [object Object], [object Object], [object Object].
Colors to use: #000000, #f6f5f4, #a39e98, #ffffff, #615d59, #0075de, #097fe8, #62aef0, #f64932, #9c7054, #ff6d00, #78736f, #9849e8, #ffb110.
Fonts: [object Object], [object Object], [object Object].
Radius vocabulary: 4, 8, 12, 16, 50, 100.
Sections:
- cta
- steps — heading: "Meet the night shift."
- testimonial — heading: "Meet the night shift."
- bento — heading: "Keep work moving 24/7."
- bento — heading: "Automate repetitive work for your team."
- bento — heading: "Automate repetitive work for your team."
- bento — heading: "Ask your on-demand assistants."
- bento — heading: "You assign the tasks. Notion Agent does the work."
- bento — heading: "One search for everything."
- bento — heading: "Perfect notes, every time."
- bento — heading: "Bring all your work together."
- bento — heading: "Simple and powerful."
- bento — heading: "One source of truth for teams and agents."
- bento — heading: "Less tracking. More progress."
- hero — heading: "Trusted by teams that ship."
- testimonial — heading: "Try for free."
- footer
Use Tailwind via CDN, lucide-react for icons, and keep the material language consistent across sections. Do not add extra decorative elements outside this vocabulary.
Recipe · Button1,014 chars
# Recipe: button
Build one button component that matches this brand.
Palette: #000000, #f6f5f4, #a39e98, #ffffff, #615d59, #0075de
Typography: [object Object], [object Object], [object Object]
Material: material-you
Signals: Radius: 4, 8, 12, 16, 50, 100 · Shadows: rgba(0, 0, 0, 0) 0px 1px 0px 0px | rgba(0, 0, 0, 0.01) 0px 0.175px 1.041px 0px, rgba(0, 0, 0, 0.02) 0px 0.8px 2.925px 0px, rgba(0, 0, 0, 0.027) 0px 2.025px 7.847px 0px, rgba(0, 0, 0, 0.04) 0px 4px 18px 0px | rgba(0, 0, 0, 0.016) 0px 0.7px 1.462px 0px, rgba(0, 0, 0, 0.03) 0px 3px 9px 0px
## Anatomy (detected)
```json
{
  "kind": "button",
  "structuralHash": "button>svg>svg",
  "instanceCount": 1,
  "variants": [
    {
      "css": {
        "background": "rgba(0, 0, 0, 0.1)",
        "color": "rgba(0, 0, 0, 0.95)",
        "padding": "0px 0px 0px 0px",
        "borderRadius": "9999px",
        "border": "0px none rgba(0, 0, 0, 0.95)",
        "fontSize": "20px",
        "fontWeight": "400"
      },
      "instanceCount": 1
    }
  ]
}
```
Recipe · Card1,296 chars
# Recipe: card
Build one card component that matches this brand.
Palette: #000000, #f6f5f4, #a39e98, #ffffff, #615d59, #0075de
Typography: [object Object], [object Object], [object Object]
Material: material-you
Signals: Radius: 4, 8, 12, 16, 50, 100 · Shadows: rgba(0, 0, 0, 0) 0px 1px 0px 0px | rgba(0, 0, 0, 0.01) 0px 0.175px 1.041px 0px, rgba(0, 0, 0, 0.02) 0px 0.8px 2.925px 0px, rgba(0, 0, 0, 0.027) 0px 2.025px 7.847px 0px, rgba(0, 0, 0, 0.04) 0px 4px 18px 0px | rgba(0, 0, 0, 0.016) 0px 0.7px 1.462px 0px, rgba(0, 0, 0, 0.03) 0px 3px 9px 0px
## Anatomy (detected)
```json
{
  "kind": "card",
  "structuralHash": "span",
  "instanceCount": 5,
  "variants": [
    {
      "css": {
        "background": "rgba(0, 0, 0, 0)",
        "color": "rgb(0, 0, 0)",
        "padding": "0px 0px 0px 0px",
        "borderRadius": "0px",
        "border": "0px none rgb(0, 0, 0)",
        "fontSize": "16px",
        "fontWeight": "700"
      },
      "instanceCount": 4
    },
    {
      "css": {
        "background": "rgba(0, 0, 0, 0)",
        "color": "rgb(255, 255, 255)",
        "padding": "0px 0px 0px 0px",
        "borderRadius": "0px",
        "border": "0px none rgb(255, 255, 255)",
        "fontSize": "16px",
        "fontWeight": "700"
      },
      "instanceCount": 1
    }
  ]
}
```

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