Ship product
like you have
a full team
with AI

Revenue teams can now automate research, strategy, design, engineering, and launch—with a structured 13-agent system that replaces ad hoc ChatGPT usage.

Your Product Pipeline

CPO
S1
S2
S3
0
1
2
3
4
5
6
7
8
9

Ad hoc process can't scale your product.

Solo founders and small product teams fall short because they focus on building but struggle to maintain structure. Context is lost, quality drops, and decisions can't be traced.

Research is ad hoc

You talk to a few users, trust your gut, and move forward. You don't know if you're solving a real problem or building what you think they want.

Strategy is implicit

Prioritization happens in your head. No one else understands why you're building what you're building. No documentation. Easy to lose confidence.

Context lost between stages

You do discovery, then skip to design or engineering. Design doesn't know what Strategy decided. Engineering doesn't know what Design intended.

Quality gates are missing

You ship without spec, without design, without testing. You find bugs in production and build features no one asked for.

There's no traceability

Why did you build this? You forgot. Was it because users asked or because you thought it was cool? You can't explain it.

Iteration is guesswork

You ship something, watch it fail, and guess what to do next. No feedback synthesis. No structure. You spin your wheels.

ProductOS automates the work for you.

ProductOS's AI agents handle the behind-the-scenes product work automatically. Your team stays focused on what matters.

1

Install ProductOS

Add ProductOS to your Cowork or Claude Code plugin directory. Set it up as a Slack bot or command-line tool. Takes 5 minutes.

2

Initialize Your Product

Run /init to create a new product workspace. ProductOS scaffolds the folder structure, loads the methodology, and stands up your 13-agent team.

3

Run the Agents

Start with Discovery. Upload your research. Hand off to Strategy, then Requirements, Design, Architecture, Engineering, QA, Launch, Analytics, and Iteration.

The key difference: Each stage has a quality gate. You don't move forward until the work is ready. Handoffs are explicit—no context lost. Every decision traces back to evidence.

Your 13-Agent Team

ProductOS runs 13 specialized AI agents through the full product development lifecycle. Each agent owns a distinct stage. Each stage has a quality gate.

Executive Layer

CPO

Chief Product Officer. Sets strategy, vision, and quality standards.

Strategic Layer

Agent S1

Market Intelligence. Tracks market size, trends, and opportunities.

Agent S2

Competitive Intelligence. Benchmarks competitors and gaps.

Agent S3

Business Intelligence. Analyzes financial data and forecasts.

Delivery Layer

Agent 0

Discovery & Research. Finds and validates problems worth solving.

Agent 1

Product Strategy. Prioritizes opportunities and builds roadmaps.

Agent 2

Requirements. Writes PRDs and user stories.

Agent 3

UX & Design. Creates user flows and specifications.

Agent 4

Technical Architecture. Designs systems and writes ADRs.

Agent 5

Engineering. Implements code and runs tests.

Agent 6

QA & Testing. Tests thoroughly and reports bugs.

Agent 7

Launch & GTM. Plans launches and enables teams.

Agent 8

Analytics & Metrics. Defines KPIs and builds dashboards.

Agent 9

Iteration & Feedback. Synthesizes feedback and proposes improvements.

ProductOS structures the work for you.

Unlike ad hoc ChatGPT usage or fragmented PM tools, ProductOS enforces a proven process with quality gates, handoffs, and traceability at every stage.

Structured Handoffs

No context lost between stages. Every handoff includes a checklist. Downstream agents can't start without upstream readiness.

Quality Gates

Catch misalignment before it cascades. Specs reviewed before design. Design reviewed before engineering. Bugs caught before launch.

16 Production Templates

Research briefs, PRDs, wireframes, ADRs, test plans, launch plans. All pre-written. Eliminate blank-page paralysis.

Full Traceability

Every decision traces back to research. Every requirement traces back to user need. You can explain why you built what you built.

Living Process

The methodology is open and documented. Customize templates, modify workflows, adjust quality gates. It's your system.

AI Augmentation

Agents handle synthesis, drafting, and enforcement. You make the strategic decisions. The AI is your team; you're the leader.

Simple, Transparent Pricing

Monthly Annual (Save 17%)

Starter

$29
/month
  • 3 core agents
  • Research → Strategy → Requirements
  • 8 templates
  • Single project
  • 5 GB storage
  • Community support

Team

$129
/month
  • All Pro features
  • Up to 5 team seats
  • Multi-user workspace
  • Custom configurations
  • 200 GB storage
  • Advanced integrations
  • Dedicated support
  • SSO & compliance

All plans include a 14-day free trial and a 30-day money-back guarantee.

Built by a Product Leader, for Product Leaders

ProductOS is the operating system we wish we had. It's based on 1000+ product decisions at scale, proven frameworks (Jobs-to-Be-Done, RICE, Rumelt's Strategy Kernel), and the hard-won insights of building products in small teams.

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Fully Documented

Frequently Asked Questions

What is ProductOS? +
ProductOS is an AI-powered product operating system that runs a team of 13 specialized agents through the full product development lifecycle. It brings institutional discipline to solo founders and early-stage product leaders by automating research synthesis, strategy formulation, requirements writing, design, architecture, engineering, QA, launch planning, analytics setup, and iteration.
How does ProductOS work with Claude/Cowork? +
ProductOS is a plugin for Cowork and Claude Code. You install it in your plugin directory, initialize a new product project, and then run agents via commands or Slack. Each agent reads the methodology, your project files, and the work completed by upstream agents. All work is stored as markdown and code—no proprietary database.
Can I customize the agents? +
Yes, but it depends on your plan. On Pro and Team tiers, you have full access to the methodology (CLAUDE.md). You can modify agent definitions, adjust quality gates, customize templates, and create team-specific variants. You own the system design.
What if I only need some agents? +
The Starter tier includes 3 core agents—perfect if you're validating ideas. The Pro tier gives you all 13 agents, but you can use them as needed. You don't have to use every agent for every project.
Is my data private? +
Yes. All your work is stored in your workspace as markdown and code. ProductOS runs in your Cowork or Claude Code environment—your product strategy, research, specs, and code never leave your machine. We don't see your data and don't use it for training.
How long does it take to ship a product? +
The typical timeline is compressed significantly. A solo founder going through the full pipeline usually takes 4–8 weeks with ProductOS. The system is 2–3x faster than ad hoc because there's no context loss, no re-work, and clear quality gates.
What if ProductOS adds features I don't like? +
You don't have to adopt them. The methodology is open and documented. If we release a new version you don't like, you can stick with the old methodology. You own the system. You control the process.
Do I need PM experience to use ProductOS? +
ProductOS teaches you as you go. Every agent guides you through the process. The templates are pre-written. If you're a founder or engineer building your first product, you'll learn the methodology by doing it. If you're a seasoned PM, you'll recognize the frameworks and appreciate the discipline.