Teams who ship quality over speed and budget use Allizai.

From brief to complete product
Three steps. One coherent experience.
A
60% faster from idea to direction
Describe
B
3× more design decisions resolved
Generate
C
50% fewer revision cycles
Refine
Trained on design excellence
20,000+ design principles
A design intelligence, not a generator

What good looks like
The standard Allizai is trained on—and holds itself to.
0.1
48 COMPONENTS. ZERO DRIFT.
Component library
0.2
FIRST DIRECTION IN UNDER 90 SECONDS.
Generation interface
0.3
100% OF DECISIONS TOKENIZED.
Design system
0.4
DESIGN TOKENS TO CODE IN ONE COMMAND.
Tokens via the MCP
0.5
EDIT PATHS WITHOUT LEAVING THE CANVAS.
SVG editing with the pen tool
0.6
FIGMA TO EDITABLE LAYERS IN 3 SECONDS.
Paste from Figma
What our AI learns from
The research, science, and engineering literature that shapes how Allizai understands design. Every principle is grounded in first principles.
1
Pixels, Images, and Color
1.1
How Computers Represent Images
23 deterministic rules applied
1.2
Understanding Color Spaces
281 deterministic rules applied
1.3
Contrast, Brightness, and Perception
89 deterministic rules applied
1.4
Standardized Color Systems
32 deterministic rules applied
1.5
How Digital Images Are Built
62 deterministic rules applied
1.6
How Touchscreens Detect Input
12 deterministic rules applied
2
Fonts, Curves, and Vector Graphics
2.1
Drawing Smooth Curves
49 deterministic rules applied
A
2.2
How Digital Fonts Are Made
283 deterministic rules applied
Av
2.3
Kerning, Hinting, and Anti-Aliasing
23 deterministic rules applied
2.4
How Scalable Vector Graphics Work
39 deterministic rules applied
2.5
Transforming Vector Shapes
76 deterministic rules applied
3
Graphics and 3D Rendering
3.1
How a GPU Renders Graphics
82 deterministic rules applied
3.2
How Shaders Create Visual Effects
45 deterministic rules applied
3.3
Noise, Distance Fields, and Procedural Forms
23 deterministic rules applied
3.4
Rays, Pixels, and Lighting Effects
71 deterministic rules applied
4
Artificial Intelligence and Machine Learning
4.1
How Neural Networks Process Information
1,092 deterministic rules applied
4.2
Gradient Descent and Backpropagation
92 deterministic rules applied
4.3
Embeddings, Attention, and Meaning
987 deterministic rules applied
4.4
How AI Generates Images
23 deterministic rules applied
5
Data, Encoding, and Compression
0110
1001
0101
5.1
Bits, Bytes, and Binary Data
21 deterministic rules applied
5.2
Entropy and Efficient Encoding
29 deterministic rules applied
5.3
How Image Compression Works
62 deterministic rules applied
5.4
Layers of Compression
982 deterministic rules applied
5.5
How Data Is Stored
91 deterministic rules applied
6
Networks, Browsers, and the Web
6.1
How Data Is Sent and Received
82 deterministic rules applied
6.2
How the Internet Connects Devices
40 deterministic rules applied
6.3
What a Browser Actually Does
54 deterministic rules applied
7
Code, Compilers, and Execution
7.1
What Code Really Is
45 deterministic rules applied
7.2
Compilers vs. Interpreters
493 deterministic rules applied
7.3
How Code Becomes a Running Program
92 deterministic rules applied
8
Interfaces and Human Computation
8.1
UI Systems and Variables
22303 deterministic rules applied
8.2
Humans as Information Processors
2123 deterministic rules applied