--- title: "ProductOS: AI-Native Product Development Platform" description: "Five AI agents that research, spec, design, and code your product, web and mobile, without losing context between stages. From idea to shipped product." url: https://productos.dev/ --- The AI-native OS for product development # Idea in. Product out. An AI product team that researches, specs, designs, codes, and ships your product, web and mobile, without losing context between stages. [Start on Free](https://beta.productos.dev/sign-up?utm%5Fsource=productos.dev/hero) [See the pipeline](https://productos.dev/#platform) 7-day free trial · Cancel anytime · You own the code Research Market scans & a real PRD Design Flows & UX from the spec Code Production web & mobile Deploy GitHub sync, own the code Find us on Product Hunt ![ProductOS: one prompt through six stages to a live deploy](https://productos.dev/images/journey-demo-poster.png) One prompt. Six stages. A live product. 1,529+ Projects shipped 5,071+ AI generations Top 30 of 20,000, VibeCon 2026 Platform ## The AI operating system for product development One platform. Specialized AI agents that research, spec, design, code, and deploy, sharing the same context from a single idea to a shipped web and mobile product. - One shared context across every stage - Web and native mobile from one prompt - Full code ownership, export anytime Researching Your AI product team ## A full product team. One memory. An orchestrator routes the work; specialist agents do it. Every one of them reads the same shared context and writes its output back, so nothing gets re-explained at a handoff. ProductOS · Coordination ### ProductOS Agent Your orchestrator routes work to the specialists and keeps the project wiki, the shared context every agent reads before acting and writes back into after. Writes to context 100% carried forward The shared context itself Click an agent in the orbit, or the core, to meet the team How it works ## From idea to production 01 ### Describe your idea Type one prompt. Agents research the market and write a real PRD, before a single pixel. 02 ### Review & design User flows and UX screens are generated from your PRD, ready to iterate on before development starts. 03 ### Ship it Production web and native mobile code, pushed to your GitHub and deployed to your own domain. What one run looks like ## You brief it once. The pipeline works the night shift. 21:04 Research Market scan complete: 14 competitors profiled, pricing and positioning mapped 21:38 Research ICP drafted from review mining; TAM/SAM sized with sources attached 22:19 PRD Spec v1 written on the research: 8 sections, 23 acceptance criteria, edge cases logged 23:12 Design Design tokens + 12 screens generated from the spec, flows wired 01:47 Code Web and mobile builds green: components, API routes, and auth in place 02:05 Deploy Preview live on a shareable link; repo synced to your GitHub. The code is yours 07:00 You Wake up to a working product, not a prompt history. Illustrative run: timing scales with project scope Product tour ## Every stage, screen by screen The real product at work, from first prompt to production code. ![ProductOS ideation: refining an idea in conversation with the agent](https://beta.productos.dev/api/project-storage/public/e0201962-d104-4450-b5c0-27144c43f942/homepage-tour/full-2026-08-26/ideation.webp) 01 · Product ### Ideation Describe your idea and pressure-test it in conversation. The agent asks the questions a good product manager would, before anything gets built. ![ProductOS research agent scanning sources and analyzing competitors](https://beta.productos.dev/api/project-storage/public/e0201962-d104-4450-b5c0-27144c43f942/homepage-tour/full-2026-08-26/research.webp) 02 · Product ### Research Live market scans with sources attached: competitors profiled, positioning mapped, and the opportunity sized before you commit. ![ProductOS validation survey drafted from research findings](https://beta.productos.dev/api/project-storage/public/e0201962-d104-4450-b5c0-27144c43f942/homepage-tour/full-2026-08-26/validation-survey.webp) 03 · Product ### Validation survey The agent drafts a survey against your riskiest assumptions. Publish it, share the link, and let real answers shape the spec. ![ProductOS PRD agent writing the spec section by section](https://beta.productos.dev/api/project-storage/public/e0201962-d104-4450-b5c0-27144c43f942/homepage-tour/full-2026-08-26/prd.webp) 04 · Product ### PRD stage A real PRD written section by section (press release, FAQs, goals and metrics, personas), grounded in the research, not a blank template. ![ProductOS design agent building brand guidelines and screens](https://beta.productos.dev/api/project-storage/public/e0201962-d104-4450-b5c0-27144c43f942/homepage-tour/full-2026-08-26/design.webp) 05 · Product ### Design stage Brand guidelines, user flows, and UI screens generated from the PRD, ready to iterate on before development starts. ![ProductOS Code & deploy walkthrough: building Taskspace, previewing a light project dashboard, and moving tasks across the board](https://productos.dev/images/tour/code-deploy.webp) 06 · Product ### Code & deploy Production web and native mobile code, built from the same research and designs, with a live sandbox preview and GitHub sync. Surfaces & capabilities ## One platform for the whole job One account and one credit pool, shared across every surface, from the first idea to a deployed product. [01 Ideate Validate the idea and frame the opportunity from a single prompt.](https://productos.dev/features) [02 Discover Multi-model market and competitor research: SerpAPI, Exa and Perplexity together.](https://productos.dev/products/research) [03 Define A complete PRD generated from your research, the spec everything else is built from.](https://productos.dev/products/define) [04 Design User flows and UX screens generated from the PRD, ready to iterate before build.](https://productos.dev/features/ai-ux-design) [05 Code Production Next.js web apps, built from the same context as your research and design.](https://productos.dev/features/ai-app-builder) [06 Mobile Native iOS & Android via Expo, from the same prompt, including store deployment.](https://productos.dev/features/ai-mobile-app-builder) [07 Deploy GitHub sync, full export, SSL and custom domains. You own everything you ship.](https://productos.dev/features/deploy-own-your-code) [08 Integrate MCP for Cursor & Claude, reusable skills, and BYOK. Runs on your own keys are credit-free.](https://productos.dev/integrations) Claude Code integration ## Works from your IDE too ProductOS ships a native MCP server with 58 tools. Connect from Claude Code, Cursor, or any MCP client. Write PRD sections, edit code in a live sandbox, trigger deploys, all from your editor. create\_project product\_agent write\_prd\_section write\_wiki\_section edit\_file bash browser\_screenshot provision\_database manage\_env\_vars push\_to\_github git\_sync trigger\_deploy get\_deploy\_status mobile\_publish remember\_fact \+ 40 more [View MCP docs ](https://productos.dev/docs/integrations/mcp-tools) ProductOS MCP Why ProductOS ## Start at the product, not the code Product-first ### Start at the product Research and a real PRD come first, the design is generated from that spec, and the code is built from both, not the other way around. One context ### Nothing lost between stages Every stage shares the same context. Research, design, and code stay in sync. Describe your idea once and it carries all the way through. Own it ### No export wall GitHub sync and full code export from day one. Deploy on your own infrastructure with your own domains, anytime. ![ProductOS Ownership walkthrough: GitHub connection, exporting the Ledgerline project, and downloading your source and assets](https://productos.dev/images/tour/ownership-loop.webp) Ownership ## You own everything you build Push to your own GitHub repo, export the full codebase, and deploy on your own infrastructure with your own domains. Web and native mobile, from the same prompt and context. No export wall, nothing locked in. - GitHub sync from day one - Full code export, no lock-in - Deploy with SSL & custom domains Comparison ## How ProductOS compares | Capability | ProductOS | Lovable | Bolt.new | v0 | | ---------------------------------- | --------- | ------- | -------- | ------- | | Starts with research & a real PRD | Yes | No | No | No | | Generates the design from the spec | Yes | No | No | Partial | | Production web and native mobile | Yes | Partial | Partial | No | | One shared context across stages | Yes | No | No | No | | Full code export & GitHub sync | Yes | Yes | Yes | Yes | | Five specialized agents | Yes | No | No | No | | Deploy with your own domains | Yes | Yes | Yes | Partial | | Bring your own keys (BYOK) | Yes | No | No | No | Compared on public capabilities, 2026. Full comparisons: [ProductOS vs Lovable](https://productos.dev/alternatives/lovable) [ProductOS vs Bolt.new](https://productos.dev/alternatives/bolt-new) [ProductOS vs v0](https://productos.dev/alternatives/v0) [ProductOS vs Emergent](https://productos.dev/alternatives/emergent) [See all alternatives](https://productos.dev/alternatives) Bring your own codebase ## Works with what you've already built Point ProductOS at an existing product and it detects the stack and maps it automatically, across web, mobile, and backend. Next.js React framework React Native Expo · Mobile Vite Vue · Svelte · Astro Python FastAPI · Django WordPress Themes · Plugins Node.js Express · Hono Go Gin · Fiber PHP Laravel · Symfony Swift Vapor · Server Ownership & trust ## Yours, and portable ### You own the code Push to your own GitHub, export the full codebase, and deploy on your own infrastructure with your own domains. ### We never store your code We read it once and keep only the map. Your source never sits on our servers. ### Bring your own keys Use your own LLM provider keys across every surface. Runs on your key are credit-free. ### One account, every surface One plan and one shared credit pool work across Design, Code, and Build. Why now > “The AI can write the code in seconds. The hard part is knowing it’s the right product. ProductOS is how we stay sure, from research to ship.” Illustrative · a product team on ProductOS Product-based pricing ## Your next idea starts here. New accounts start on Hobby, free. Upgrade when you are ready. [Hobby For exploring ideas and side projects. $0/mo 200 credits at sign-up Start for free](https://beta.productos.dev/sign-up?utm%5Fsource=productos.dev/home) [Pro / Pro+ For building every day. Pick the credits you need. From $20/mo 400 or 1,000 credits / month Choose Pro](https://productos.dev/pricing#pro) [Ultra For your most demanding personal projects. $200/mo 4,000 credits / month Choose Ultra](https://beta.productos.dev/checkout?plan=solo%5Fultra&cycle=monthly) [Business & Enterprise For teams, agencies and organizations. From $449/mo Shared workspace · client access · custom scale Explore Business plans](https://productos.dev/pricing) Solo or Business · monthly or yearly · clear usage across Design, Code & Build. [Compare all plans ](https://productos.dev/pricing) FAQ ## Frequently asked questions - **What is ProductOS?** ProductOS is the AI-native product development platform built by One Infinity Labs, Inc. Describe your idea once, and a pipeline of specialized AI agents takes it from research to PRD to design to production code, web and mobile, with every stage sharing the same context. - **Who makes ProductOS, and is it a real company?** ProductOS is built by One Infinity Labs, Inc., founded by Heemang Parmar and Shreyash Singh. It sits alongside 1Labs AI, the AI-native product development studio, within the company's AI vertical. You can find ProductOS on Crunchbase and Wikidata, and its official home is productos.dev. - **Is ProductOS an AI agent platform?** Yes. ProductOS runs a multi-agent system: ten specialized AI agents across five stages (ideation, research, PRD, design, and code) that share one context layer, so it is an agentic AI platform purpose-built for product development rather than a single general-purpose chatbot. - **How is it different from Lovable, Bolt.new, or v0?** Those tools start at code. ProductOS starts at the product: research and a real PRD come first, the design is generated from that spec, and the code is built from both. You also keep full code ownership: GitHub sync and export from day one, no export wall. - **How much does ProductOS cost?** ProductOS has three paid plans: Builder at $79/month (1 active product, 2,000 AI credits), Team at $449/month (3 active products, 15,000 pooled credits), and Agency at $1,199/month (5 active products, 40,000 pooled credits). Every plan starts with a 7-day free trial that includes 200 promotional credits. - **How long does it take to go from idea to shipped product?** Most teams ship a working web or mobile app in 3–12 days using ProductOS. The five-stage pipeline is: (1) Ideate — refine your concept in minutes; (2) Research — AI runs competitor and market analysis; (3) Define — generate a full PRD with user stories; (4) Design — produce a design system and UI screens; (5) Develop — build and deploy production code. Each stage hands its output to the next, so nothing is lost. - **Do I need to know how to code?** No coding experience is required to run the ideation, research, PRD, and design stages. The Develop agent writes production-ready code that you can review, edit, and deploy. If you are technical, you can also export the full codebase to GitHub and continue in your own editor. - **What integrations does ProductOS support?** ProductOS integrates with GitHub (automatic code sync and export), Figma (design import and export), Vercel (one-click deployment), and any AI coding tool via MCP hand-off so you can pull the spec, designs, and decision rationale into Cursor or Claude Code. Enterprise plans add Slack, Jira, Linear, and SSO/SAML. - **How does ProductOS compare to Cursor or GitHub Copilot?** Cursor and Copilot are coding assistants: they help you write code faster inside an editor. ProductOS is an end-to-end product development platform: it runs the research, PRD, and design stages before any code is written, so by the time you are coding you have a spec and a design system, not just a blank file. They complement each other — ProductOS includes an MCP hand-off to push the full context into Cursor. - **Do I own the code?** Yes. Push to your own GitHub repo, export the full codebase, and deploy on your own infrastructure with your own domains. - **Does it build mobile apps too?** Yes. Native iOS and Android via Expo, from the same prompt and context as your web app, including store deployment. - **Is there a free trial?** Every plan starts with a 7-day free trial that includes 200 promotional credits. Cancel anytime. One account and one credit pool are shared across every surface: Design, Code, and Build. From the blog ## How we think about building [Read the blog](https://productos.dev/blog) [Agentic Product Development The AI-Native Product Development Lifecycle: From Intent to Verified Release Connect intent, specs, coding agents, tests and human approvals in an AI-native product development lifecycle. Includes a practical release map. 14 min read](https://productos.dev/blog/ai-native-product-development-lifecycle) [Product Metrics & Prioritization AARRR Metrics: A Practical Guide for Founders A practical guide to AARRR metrics, with clear formulas, cohort definitions, a hypothetical SaaS case study, and original charts for better product decisions. 24 min read](https://productos.dev/blog/aarrr-metrics-founder-guide) [AI Engineering in Production Jev and the unbundling of AI: why agents need a decision layer Jev is not another chatbot. It is a decision model built to return typed judgments instead of prose. Here is what that changes for AI agents and how to test it safely. 14 min read](https://productos.dev/blog/jev-decision-layer-ai-agents) Explore ## Start anywhere The whole platform, one click deep. [The AI agents Ten specialist agents for research, requirements, architecture, design, code, QA, and deploy, coordinated by one orchestrator.](https://productos.dev/agents) [The five-stage pipeline Ideate, discover, define, design, develop. How an idea moves through every stage without losing the context behind it.](https://productos.dev/how-it-works) [Cursor for product managers What the phrase means, why product work is following engineering into agent-native tooling, and what changes day to day.](https://productos.dev/cursor-for-product-managers) [AI PRD generator Turn research into a structured product requirements document, section by section, with PRFAQ, Lean, and Enterprise templates.](https://productos.dev/products/define) [ProductOS vs the alternatives Honest comparisons against Lovable, Bolt, v0, Replit, Emergent, and the rest of the AI app builder field.](https://productos.dev/alternatives) [Solutions by role and industry How founders, product managers, developers, designers, and agencies each use the pipeline differently.](https://productos.dev/solutions) [AI product development glossary Plain-English definitions for the vocabulary this work runs on, from PRD and MVP to agentic AI and multi-agent orchestration.](https://productos.dev/glossary) [Writing on building with AI Field notes on agentic product development, spec-driven development, and shipping with AI agents in production.](https://productos.dev/blog) ## Prompts make demos. ProductOS ships products. Describe your idea once. Agents take it from research to production, web and mobile, with every stage sharing the same context. [Start on Free](https://beta.productos.dev/sign-up?utm%5Fsource=productos.dev/final-cta) [See the pipeline](https://productos.dev/#platform)