Build production-ready applications with P2HS

Turn AI-built or existing projects into production-ready web applications.

Turn AI-built or existing projects into production-ready web applications with P2HS.

Start with an idea in P2HS AI, bring a project created in ChatGPT, Claude, Gemini, Codex, another AI builder, or a conventional development environment, or connect a GitHub repository. Then add application features, connect services, preview the result, and deploy it.

Start with the Quickstart

Create or import a project and reach your first preview.

Build with P2HS AI

Understand prompts, codegen runs, revisions, and validation.

Bring an existing project

Import a project and continue development with P2HS.

Deploy an app

Learn the preview-to-production deployment model.

Add app features

Add authentication, forms, data, files, and other supported functionality.

Connect services

Connect the external services your application already uses.

Use an AI client

Work with P2HS from supported MCP-compatible AI clients.

Troubleshoot

Find symptom-based help for builds, deployments, integrations, and runtime issues.

The P2HS workflow

Explore P2HS

• How P2HS works explains the product lifecycle.
• App features covers the functionality you can add to an application.
• Integrations covers connected services.
• MCP and AI clients explains the supported AI-client interface.
• Troubleshooting starts with the symptom you are seeing.