Dreamflow

About Dreamflow

What if you could explore the full spectrum of app creation, from a fleeting idea to a polished, store-ready product, all within a single, fluid environment? Dreamflow is that exploration. It's a visual AI builder designed for crafting production-ready mobile applications, offering a uniquely synchronized workflow that adapts to your preferred mode of building. Whether you're an entrepreneur with a vision, a designer seeking precision, or a developer demanding control, Dreamflow meets you where you are. Start by simply describing your app in natural language to an intelligent AI agent. Then, seamlessly transition to a powerful visual editor to refine the experience with drag-and-drop ease. When you need granular control, dive directly into clean, standards-compliant Flutter code. The revolutionary core of Dreamflow is that all these surfaces—prompt, visual, and code—are kept in perfect sync. This eliminates the traditional lock-in of no-code tools or the disconnect of mere prototypes, giving you the speed of AI-assisted generation, the intuitive clarity of visual design, and the ultimate confidence of owning scalable, exportable code you can publish to the App Store, Google Play, or the web.

Features of Dreamflow

Tri-Surface Synchronized Editing

Imagine an environment where your creative intent flows effortlessly between different forms of expression. Dreamflow's tri-surface editing allows you to switch seamlessly between an AI chat interface, a visual design canvas, and a full code editor. Make a change in one view, and it's instantly reflected in the others. This means you can prompt an AI to "add a user profile screen," fine-tune the layout and colors visually, and then directly tweak the underlying Dart code for a custom animation—all without ever breaking context or losing your work.

Context-Aware AI Generation

The AI in Dreamflow is more than just a code generator; it's a collaborative partner that understands app development patterns and Flutter best practices. It scaffolds features intelligently, suggesting coherent structures for authentication flows, data lists, or navigation based on the context of your overall project. This context-aware assistance helps you build robust features correctly from the start, accelerating development while maintaining high code quality and adherence to professional standards.

Production-Ready Flutter Foundation

Dreamflow doesn't create abstracted prototypes or locked-in designs. Every component you place and every feature you generate translates directly into clean, human-readable Flutter (Dart) code. This foundation ensures the apps you build are performant, scalable, and truly production-ready. You maintain complete ownership and can export the entire Flutter project at any time to deploy, customize further in your preferred IDE, or integrate into an existing codebase with full confidence.

Integrated Backend & Multi-Platform Deployment

Building a full-stack app is streamlined with out-of-the-box integrations for popular backend services like Firebase and Supabase. You can easily connect your UI to real databases, authentication, and cloud functions. Furthermore, Dreamflow empowers you to deploy your creation to any screen. With a few clicks, you can publish responsive applications to the web, iOS App Store, and Google Play Store, ensuring your idea reaches users everywhere.

Use Cases of Dreamflow

Rapid Prototyping and MVP Development

For founders and product managers, speed to market is critical. Dreamflow allows you to transform a concept into a tangible, interactive prototype or a minimum viable product (MVP) in a matter of hours, not weeks. Describe your core app flow, use the AI and visual tools to build it, and instantly have a working app to test with users, validate ideas, and secure early feedback or investment without a massive upfront development cost.

Designer-Developer Collaboration

Bridging the gap between design and engineering has never been smoother. Designers can use the visual canvas to craft pixel-perfect, responsive interfaces that are immediately functional, not static mockups. Developers can then examine or modify the generated Flutter code directly, ensuring the design is implemented with optimal performance. This shared, synchronized environment fosters better communication and drastically reduces iteration cycles.

Educational Tool for Learning Flutter

Aspiring developers and students can use Dreamflow as an interactive learning platform. By describing a feature and seeing the AI generate the corresponding code, then visually manipulating elements and observing the code changes in real-time, learners can intuitively grasp the connection between UI concepts and Flutter/Dart syntax. It's a hands-on way to understand widget trees, state management, and responsive design principles.

Extending and Customizing Existing Projects

Developers working on Flutter applications can use Dreamflow as a powerful adjunct tool. Need to quickly build a new admin panel or a complex settings page? Describe it in Dreamflow, visually adjust the layout for perfection, and then export just that screen's clean, well-structured code to integrate directly into your main project. It's perfect for accelerating specific feature development within a larger, codebase-centric workflow.

Frequently Asked Questions

How is Dreamflow different from other no-code or low-code builders?

Unlike traditional tools that often lock you into their proprietary abstraction layer, Dreamflow is built on a foundation of real Flutter code. While it offers no-code visual editing and AI assistance, it never hides the code from you. All three surfaces are synchronized, meaning you can start with AI, refine visually, and then take full control of the production-ready Dart code, which you can export and own forever. There is no vendor lock-in.

Do I need to know how to code to use Dreamflow?

Not at all! You can start building entirely by describing your app to the AI agent and using the intuitive visual editor. The platform is designed to be accessible to founders, designers, and idea-makers. However, if you do have coding skills, Dreamflow unlocks even greater power, allowing you to dive into the code for advanced customizations, leveraging the best of both worlds.

Can I really publish the apps I build on Dreamflow?

Absolutely. Apps built with Dreamflow are not prototypes or simulations. They compile into genuine, native Flutter applications. The platform provides one-click deployment workflows to publish your app to the web, the Apple App Store, and the Google Play Store. You also have the option to export the entire Flutter project and handle deployment through your own developer accounts and processes.

What are "Credits" in the pricing plans?

Credits are the unit of consumption for AI-powered generations within Dreamflow. Complex actions like generating a new screen from a prompt or having the AI refactor a component will consume credits. Simple visual edits, canvas work, and code editing do not use credits. The pricing plans offer different monthly credit allowances to match various levels of building activity, from casual exploration to professional, high-volume development.

Pricing of Dreamflow

Dreamflow offers a simple, tiered pricing model designed to scale with your needs. You can start for free and upgrade as your projects grow.

The Free plan ($0/month) provides 10 credits to start building, access to chat and AI generation, and 1-click web deployment, perfect for initial exploration.

The Hobby plan ($20/month) is ideal for individuals publishing a single app, offering 100 credits, deployment to iOS and Android in addition to the web, unlimited private projects, and 1-click code export.

The Pro plan ($90/month), noted as "Most Popular," is built for individuals creating multiple or more robust apps. It includes 500 credits, priority access to premium AI models, and Git access for advanced version control.

For teams requiring a core platform, Enterprise plans offer custom pricing with dedicated support, onboarding, advanced access control, the ability to bring your own AI models, SLAs, and private cloud deployment options.