Your AI co-founder.
Without the slop.
Marque takes a single prompt and ships an entire product — researched, branded, built, deployed, and marketed. No generic three-column landing pages. No purple gradients. No Inter.
No spam. Early access invites only.
Everyone else ships the statistical average.
General LLMs produce design by averaging their training data — Inter, purple gradients, three-column cards. The Marque model was trained on a different corpus: curated editorial layouts, brand systems, and production code worth shipping. Every render is then checked against 65 visual and structural gates before code is committed.
- Inter font, purple-to-indigo gradient
- Emoji bullets, three identical cards
- Vague hero copy you've read 1,000 times
- Editorial layout, serif display
- Asymmetric stat row, no card-grid filler
- Voice and CTA forged from the brand kit
Everything between an idea and a launched product.
The Marque Model
Purpose-built for design. Knows 21 macro-layouts, 22 themes, real typography pairings — by weight, not by prompt. Editorial taste, not the statistical average.
65 visual + structural gates. One fail halts the build.
E2B Sandboxed Execution
Every build renders inside an isolated Firecracker microVM. Preview URLs in under a second.
Console diagnostics feed back into the agent for auto-repair.
Deep Research Agent
Exa + Tavily-powered intelligence. Competitor pricing, domain history, OSS footprint, citations.
Exportable PRD and roadmap, no hallucinated sources.
Brand Kit & Presentation
Localized generation: tokens.json, CSS variables, vector logos. Visual knobs altered per build.
No two Marque brands look the same.
Vercel Autopilot
One-click deploy to your Vercel account. Preview URL per agent run, custom domains, env vars and edge functions wired automatically.
Ship the diff, not the deploy script.
Multi-Channel Marketing
Programmatic SEO posts, social hooks, ad creatives — extracted from your actual codebase.
Lead-gen + campaign agents kick in on launch day.
From prompt to paid users in a single thread.
Marque is not seven tools held together with API tape. Each step hands the next a structured payload — not a chat transcript.
- 01
Prompt
Describe what you're building in plain language. One sentence is enough.
- 02
Research
Marque audits competitors, pricing, OSS prior art, and emerging signal with cited sources.
- 03
Strategy
Positioning, ICP, and a contrarian wedge synthesized into a working PRD.
- 04
Spec
Feature surface, schema, RLS policies, and routes locked before a single line is written.
- 05
Brand
2–3 logo directions, tokens, type pairing. You pick or remix — Marque commits.
- 06
Build
Code rendered in an E2B sandbox. 65-gate sanity check. Anti-slop enforcement on every diff.
- 07
Launch
Deploy to your Cloudflare. Outbound lead extraction begins. Campaigns and ads roll.
A model trained on great design. Not the average of the internet.
Every general-purpose LLM was trained on a web full of generic templates — and it shows. The Marque model was trained on a different corpus: editorial layouts, brand systems, and production code worth shipping. The taste is in the weights, not bolted on with a system prompt.
Same model, same gates, same anti-slop floor — whether you're calling it via MCP from your IDE or driving it from the Marque workspace.
Meet your agent where it already lives.
Marque ships as a Model Context Protocol server for Cursor, Claude Code, and Windsurf. Frontend prompts are routed to the Marque model — your IDE's agent calls it the way it would call any other tool — and the backend is linted before the diff lands.
- Design tool calls hit the Marque model, not a generic LLM
- Structural lint for RLS, schema migrations, env wiring
- Routes every render through an E2B microVM — never your laptop
{
"mcpServers": {
"marque": {
"command": "npx",
"args": ["-y", "@marque/mcp@latest"],
"env": {
"MARQUE_KEY": "mq_live_•••",
"MARQUE_PROJECT": "field-notes"
}
}
}
}Who is Marque actually for?
Two audiences. Developers who live in Cursor, Claude Code, or Windsurf and want their agent to stop shipping AI-slop UI. And non-technical founders, PMs, and designers who want a single hosted workspace to take an idea from prompt to launched product.
How is this different from the dozen 'AI builder' tools shipping every week?
Most builders generate code by wrapping a general LLM in a prompt template. Marque ships finished products — research, brand, copy, build, deploy, leads, marketing — and the visual layer runs on our own design model. The anti-slop floor is in the weights, not in a system prompt that can be jailbroken.
Where does generated code execute?
Inside an isolated E2B sandbox on a Firecracker microVM. Code never touches your laptop until you've reviewed the preview. The agent loop receives console diagnostics and auto-corrects before delivery.
Who owns the code?
You do. Marque commits to your GitHub and deploys to your Vercel account. The brand kit, tokens.json, vector assets, and the codebase are all exportable. Nothing is locked behind a Marque-hosted runtime.
What's the pricing model?
TBD before public launch. Early-access users get founder pricing and direct input on the plan structure. Get on the waitlist for the first invites.
What model is doing the actual design work?
Ours. The Marque model is purpose-built for design, trained on a curated corpus of editorial layouts, brand systems, and production code. The research, planning, and lint agents stay pluggable (BYO Claude / OpenAI / Vertex key, your tokens, your bill), but the visual layer is ours by design. That's the wedge.
Stop shipping the average.
Start shipping a product.
Private beta opens this quarter. Invites go out weekly.
No spam. Early access invites only.