Bring your own AI coding agent

Stop prompting blind.

Turn your design into a structured, per-component brief for Claude Code, Cursor,
or any AI coding agent you already use — no hallucinated UI, no re-prompting.

NewConnectors for Claude, ChatGPT and Codex
uiprompt.app - Build beautiful UI, prompt by prompt | Product Hunt

You bring the agent — UIPrompt brings the brief. Pairs with:

Codex
Cursor
Claude Code
GitHub Copilot
Gemini CLI
Windsurf

...And More

One export. Your entire project context.

UIPrompt structures your design tokens, stack, and UI frames into a single prompt — ready to paste into any AI agent, or pulled in directly through the UIPrompt connector.

<design_tokens>
primary
muted
background
surface

fonts

AaAaAaAa400 · 500 · 600 · 700

spacing

4→32px
<frameworks>
Next.js 15Tailwind CSSshadcn/uipnpmTypeScript
<mandatory_constraints>
  • ✗No AI slop or placeholder copy
  • ✗Responsive by default
  • ✗Atomic component granularity
  • ✗No hallucinated icons or emoji
<ui_frames>
──Hero Section[frame 0]
├─Headline[HERO]
├─Subheadline[primary]
└─CTA Group[primary]
──Feature Grid[frame 1]
├─Section Title[primary]
└─Card ×3[secondary]

GitHub, built in

From repo to shipped UI.

Import your app, plan every page on the canvas, and UIPrompt puts the brief in your repo, where Claude Code, Cursor or Codex picks it up. No copy and paste.

  1. 01

    Import your repo

    Private repos too. Pages, stack and design tokens are detected, and every route becomes an empty page ready to plan.

  2. 02

    Plan on one grid

    Library sections and snapping share a 12-column grid, so every page lines up like a real site, not a pile of boxes.

  3. 03

    The brief lands in your repo

    Open a pull request, or send it straight to main in one click. .uiprompt/brief.md and AGENTS.md point your agent at the plan.

  4. 04

    See what's built

    Every page shows Built or Planned straight from your repo, and the skeleton deploys to GitHub Pages with live status.

Hallucination-proof
by design.

A hallucinated component means another prompt, another retry. UIPrompt's structured context gives your agent everything it needs upfront — no guessing, no do-overs.

UIPrompt

Loading pricing plans...

Connectors

Works inside your agent.

Add UIPrompt as a connector in Claude, ChatGPT or Codex. Your agent plans pages on your canvas, then builds from the brief. No copy and paste.

Claude
ChatGPT
Codex
Cursor
Claude Code
  1. 01

    Add the connector

    Paste uiprompt.app/api/mcp as a custom connector in Claude or ChatGPT, or add it to Codex, Claude Code or Cursor.

  2. 02

    Sign in once

    Approve access with your UIPrompt account. No API keys to copy, and you can disconnect any app at any time.

  3. 03

    Your agent plans on your canvas

    Describe a page or drop in a screenshot. Your agent lays out sections and atomic components with exact copy, right on your UIPrompt canvas.

  4. 04

    Build from the brief

    Your coding agent pulls the finished brief straight from UIPrompt (stack, tokens and every section in order) and builds it in your codebase.

Included in every plan · disconnect any app from your projects

Context+Prompt=Power

UIPrompt design tokens preview

01

Add your context

Define your design system — colors, typography, component style, and stack — so every prompt is grounded in your project.

02

Send it to your agent

Copy the brief, put it in your repo as a pull request, or let your agent pull it through the UIPrompt connector. Every component gets an AI-optimized prompt, tuned to produce the exact UI you see.

Works with your stack.

Define your frameworks, styling, components, and backend once. UIPrompt grounds every agent prompt in what your project actually uses.

Next.jsReactReact NativeExpoViteVueNuxtSvelteKitRemixAngularNext.jsReactReact NativeExpoViteVueNuxtSvelteKitRemixAngular
Tailwind CSSCSS ModulesStyled ComponentsMUIAnt Designshadcn/uiRadixHeadless UIEmotionChakra UIPanda CSSTailwind CSSCSS ModulesStyled ComponentsMUIAnt Designshadcn/uiRadixHeadless UIEmotionChakra UIPanda CSS
SupabaseFirebasePrismaReduxpnpmReact QueryZustandDrizzle ORMConvexSWRLucideSupabaseFirebasePrismaReduxpnpmReact QueryZustandDrizzle ORMConvexSWRLucide

Start from a template.

Browse pre-built UI sections with more added continuously — Hero, Pricing, Sign-in, Data Table, Checkout, and more. Pick one, drop it on your canvas, and the full block hierarchy appears ready to prompt.

16 templates

Landing pages & conversion

Hero SectionSplit Product HeroVideo Intro HeroMinimal Editorial HeroSignup Focus HeroNewsletterFeatures GridPricing TableFAQ AccordionTestimonials StripCTA BannerNavbar + LinksFooter ColumnsContact FormBlog List LayoutIntegrations Grid

6 templates

Dashboards & product screens

Sign In FormSign Up FormReset PasswordKPI Cards RowActivity Feed+1 more

1 template

Shopping & checkout flows

Checkout Summary

Why prompts need context.

Real builders keep saying the same thing: better AI output comes from better context, clearer constraints, and prompts that give the model enough information to solve the task.

390+ people loved it on LinkedIn
SP

Sumith Puri

Engineering Leader | Java/Microservices Expert | Ex-Yahoo, Symantec, Huawei

1h

The anti-hallucination focus is interesting. Extra cards and random UI elements are a real issue. If this tool reduces that, it's quite valuable. Curious how well it performs in real use.

IW

Irving Walawitz

Software Professional

56m

Breaking UI into sections is actually a smart move. Makes complex interfaces easier to manage. Especially useful for larger products.

AK

Abida Khamis

Think Tanks Professional

1h

Grounding prompts in actual tech stack is a strong point. Many tools miss that context and outputs feel generic.

CN

Chris Neal

Cannes Lion Director · ex-Paid Media Operator · Founder, CHALK

1h

Feels like a practical tool rather than just another AI wrapper. Could be useful in real workflows.

PK

Prakash Kumar

Co-Founder of The Collective | AdMorph.AI | CS @ NUS

1h

Planning UI section by section before handing it to an AI agent actually sounds practical. Most issues come from unclear prompts. This could reduce a lot of unnecessary rework. Curious how detailed the specs go.

JM

Juliana Marulanda

Founder, Operations Thought Leader · Helping business owners break through revenue plateaus

1h

The MCP server part sounds powerful. Direct integration with agents can save time. Curious how smooth the setup process is.

CA

Chennakeshav (CK) Adya

Portfolio Management | AI Maven | MBA London Business School

1h

This feels quite relevant for current dev workflows. AI often adds extra UI elements that weren't asked for. Having a structured planning layer might help control that. Would like to try this on a real project.

MG

Mauro Giacchetti

LinkedIn Trainer | Networker PRO | Financial Advisor

56m

Really like this direction. Prompt-first UI planning seems like a missing piece. Especially when switching between different AI tools. Could bring more consistency in outputs.

CC

Corey Clark

Strategic Marketing Expert | Fractional CMO | Entrepreneur

1h

I like the tech stack support here. Context really matters when prompting AI tools. This could improve output quality for developers.

MC

Monia Ciocioni

Communication Consultant | LinkedIn & B2B Expert

58m

This feels like a bridge between design thinking and AI execution. Planning before building usually gives better results. Makes the workflow more intentional.

YA

Yuvraj Arora

Creative Director @ Studio Savant

1h

Feels helpful for frontend developers working with AI regularly. Could reduce back and forth during builds.

MH

Melanie Herschorn

Done-For-You Book Writing & Publishing | Authority Builder

1h

This might speed up frontend workflows for teams using AI daily.

Frequently asked
questions.

Ready to stop re-prompting?

See our plans