FriendliAI

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A frontier inference headline is paired with a large deployment-interface preview and a row of model-provider marks.

FriendliAI — captured interface — Viewport capture · opening screen

Source capture · 2026-09-06Open full image ↗

AI interfaces

Why this pattern works

A frontier inference headline is paired with a large deployment-interface preview and a row of model-provider marks.

Design notes

Mood: Distinctive and product-focused.
Colors: White, sky blue and charcoal
Type: Display heading establishes the hierarchy; navigation and supporting copy remain compact.
Layout: Left copy and blue action beside a framed dashboard image.
Motion: Static capture of one viewport. Visit the source to study motion and interaction.
Texture: Visual emphasis comes from imagery, graphics or product previews.
Don't: Adapt the structure to your own content and brand; use your own identity, copy and imagery.

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Your project

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Tech stack

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What should the tool respect?

Preview & edit prompt

Prompt text

# My project
[Describe the product, audience, and screen you want to improve]

Stack: Use the existing project stack
Task: Implement the interface and verify the result in the existing project.

## Tool guidance (Any AI tool)
Use available project tools to inspect, implement, and test. State any unavailable capabilities.

# Design reference: FriendliAI
Source: https://friendli.ai/
Swipefile reference: https://swipefile.design/ref/ai-next-friendli/
Captured: 2026-09-06. This is a dated reference, not a claim about the current live product.
Capture scope: one viewport. Do not infer unseen page sections or a complete user flow.

## Objective
Adapt the visual principles below to my project. Use my own content and identity. Do not reproduce logos, proprietary copy, or brand assets.

## Reference notes
- mood: Distinctive and product-focused.
- colors: White, sky blue and charcoal
- typography: Display heading establishes the hierarchy; navigation and supporting copy remain compact.
- layout: Left copy and blue action beside a framed dashboard image.
- motion: Static capture of one viewport. Visit the source to study motion and interaction.
- texture: Visual emphasis comes from imagery, graphics or product previews.
- dont: Adapt the structure to your own content and brand; use your own identity, copy and imagery.

Useful for: A frontier inference headline is paired with a large deployment-interface preview and a row of model-provider marks.

## Acceptance criteria
- Existing project conventions, design tokens, working functionality, and unrelated changes are preserved.
- Two or three reference principles clearly support the user's task; conflicts are resolved in favor of usability and the existing product.
- Reusable components and semantic HTML express the interface. Available licensed assets are used; important UI text is never rendered as a bitmap.
- Every visible control has a defined behavior. Loading, empty, error, success, disabled, and long-content states are specified where relevant. Demo data is clearly labeled.
- Navigation and content adapt at 375px, 768px, and 1440px without horizontal page overflow. Keyboard use, visible focus, labeled inputs, at least 44px touch targets, readable contrast, and reduced motion are supported.
- Verification distinguishes rendered behavior from proposals and identifies anything still requiring a backend or external service.

## Quality bar
Clear hierarchy, consistent spacing, restrained surfaces, and purposeful motion. Avoid decorative gradients, excessive cards, placeholder buttons, and invented metrics unless the project calls for them. Do not claim a feature is connected or tested without evidence.

Assembled in your browser. No API key or AI request needed. Changing the fields refreshes the preview.

## Objective
Adapt the visual principles below to my project. Use my own content and identity. Do not reproduce logos, proprietary copy, or brand assets.

Useful for: A frontier inference headline is paired with a large deployment-interface preview and a row of model-provider marks.

FriendliAI

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