ProductOS
The platform

The AI operating system
for product development.

Describe your idea once. A team of specialized AI agents researches it, writes the PRD, designs it, codes it, and ships it, sharing one project context from idea to production.

The pipeline

Five stages, one continuous workflow

ProductOS runs the product development lifecycle end to end. Each stage reads what the previous one produced, so an idea becomes a real, shipped product without losing context.

The AI product team

Ten specialized agents, one context

Every stage is run by an agent built for it, with its own tools and craft. They share one project memory, so the research agent and the deploy agent are working on the same product.

One context, every stage

From product vision to production

Each capability hands off to the next, so nothing is lost between research, spec, design, code, and deploy.

Research12 competitors analyzed
PRD23 user stories drafted
Design8 screens generated
Codequeued

Agents that hand off, in order

Research informs the PRD, the PRD shapes the design, the design drives the code. Nothing gets lost in translation.

1Scanning 40 competitor pages
2Clustering user pain points
3Drafting problem statement
4Writing acceptance criteria
1Scanning 40 competitor pages

Build: research & PRD

Market scans, competitor analysis, and a complete PRD generated from one prompt, before a single pixel.

Design: flows before pixels

User flows and UX screens generated from your PRD, ready to iterate on before development starts.

app/page.tsx

export default function Page()

return <Dashboard />

iOS

Develop: real web & mobile apps

Production Next.js on the web and native iOS / Android, built from the same context as your research and designs.

git push originmain
Live in production

your-app.vercel.app · SSL · custom domain

Deploy & own the code

Push to GitHub, deploy with SSL and custom domains. Full code export, nothing locked in.

PM
Eng

Built for product teams

PMs, designers, and engineers share one project and one context. Everyone sees every change.

MCP Server

ProductOS context in Cursor & Claude

Skills

Reusable expertise packs

Research agents

Market + competitor scans

Code export

Your repo, your deploy

MCP, skills & integrations

Bring ProductOS context into Cursor and Claude via MCP, load reusable skills, and wire your stack in.

Why a platform, not a tool

The operating system underneath

One shared context

Research informs the PRD, the PRD shapes the design, the design drives the code. Nothing gets lost between stages.

Code you own

Generated code syncs to your own GitHub as it is written. Full export, deploy to your own domain, no lock-in.

Your keys, your models

Bring your own Anthropic, OpenAI, or Google keys, or use platform credits. Model choice is configurable per agent.

Real infrastructure

Isolated cloud sandboxes with live preview URLs, one-click deploys, and MCP access from Cursor and Claude.

Describe it once.
Ship the whole thing.

From idea to a real, deployed product, run by a team of AI agents that never lose the plot between stages.