Build apps and websites with AI.

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Overview

What is Create?

Create focuses on turning natural-language descriptions into working mobile apps, websites, tools, and products backed by real code. On the main site and "How it works" pages, the workflow centers on describing components, sites, and tools in plain text while the platform generates and runs the code in real time. Users see the output rendered visually and can iterate through further descriptions. The product emphasizes end-to-end app creation rather than static pages, with hosting and execution handled by the platform. A key differentiator is that generated apps can include powerful integrations with external AI models and services, allowing AI-driven functionality inside the apps themselves. The site language stresses speed from idea to running app and the ability to create functional software purely through text descriptions.
Capabilities

Create features

Describe components, sites, and tools in natural language and have Create turn the description into code and run the app in real time.
Visual rendering of generated apps so results can be seen instantly while iterating on the description.
Support for building mobile apps, websites, tools, and products that are backed by real code rather than static mockups.
Integrated hosting so generated applications are run and published directly from the platform.
Ability to make apps that use powerful integrations like ChatGPT and GPT Vision and other AI models inside the app logic.
Deep dive

More about Create

Do's & Don'ts

Do's

  • Start with a clear description of the application you want.
  • Break complex applications into smaller features.
  • Test generated functionality before publishing.
  • Use integrations and APIs when your application needs external data.
  • Review AI-generated code and logic.
  • Use authentication and appropriate access controls for applications containing user data.
  • Iterate through prompts to improve the generated application.

Don'ts

  • Don't assume AI-generated code is automatically production-ready.
  • Don't publish applications without testing important functions.
  • Don't expose API keys or sensitive credentials in client-side code.
  • Don't give an application unnecessary access to external services.
  • Don't rely on generated functionality for critical processes without proper validation.

Use Cases

  • Website Creation: build landing pages, company websites and marketing sites.
  • MVP Development: quickly turn startup ideas into working prototypes.
  • SaaS Applications: create web-based software products.
  • Internal Tools: build dashboards and business applications.
  • AI Applications: create interfaces around AI-powered functionality.
  • Customer Portals: build authenticated web applications.
  • Forms & Data Collection: create interactive forms and workflows.
  • Dashboards: visualize business or application data.

Pricing

The verdict

Pros & cons

Pros

Very low barrier to building websites and applications.

Natural-language interface makes software creation more accessible.

Useful for rapid prototyping and MVP development.

AI can generate both UI and application functionality.

Allows iterative development through prompts.

Can reduce the amount of manual coding required.

Suitable for non-technical founders and product teams.

Developers can use AI-generated code as a starting point.

Cons

AI-generated applications still require testing and review.

Complex applications may require technical knowledge.

Generated code or architecture may need manual refinement.

AI usage limits can affect heavy development workflows.

Advanced production requirements may require additional development work.

Platform capabilities and pricing can change as the product evolves.

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