What platforms does Sketchflow.ai support?

Sketchflow.ai is available on Web App, iOS and Android.

What are the limitations of Sketchflow.ai?

No public pricing information on the homepage, so budgeting requires contacting the vendor. Backend is limited to Spring Boot and NestJS, which will not suit teams standardized on other stacks. The workflow assumes prompt-driven generation, so precise or unusual requirements may need many correction rounds.

Sketchflow.ai

Name: Sketchflow.ai
Author: Sketchflow.ai

Prompt to full-stack app, native code and owned backend included

Beginner

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Screenshot of Sketchflow.ai, Prompt to full-stack app, native code and owned backend included

What is Sketchflow.ai?

Sketchflow.ai turns a written prompt into a full-stack web or native mobile app, planning the user journey first, then generating designs, Spring Boot or NestJS backends, integrations and tests, with exportable code the team owns.

Sketchflow.ai is an AI app builder aimed at people who intend to put software into production rather than stop at a clickable mockup. A single prompt describing requirements produces a project-level application with connected pages, shared logic and working user flows. The platform handles both responsive web apps and native mobile apps, generating Swift for iOS and Kotlin for Android rather than leaning on a cross-platform framework. The process is staged rather than a single black-box jump. Sketchflow first turns requirements into a workflow map and user journey that can be reviewed and edited in natural language, so misunderstandings surface before code exists. From there the system generates interface designs using composed UI components, produces interactive previews that teammates can comment on, and then writes a backend. Backend output targets Spring Boot and NestJS, which puts it closer to enterprise engineering conventions than the lightweight stacks common in this category. Ownership is the central selling point. Every line of generated code can be exported, customized and deployed wherever the team prefers, with no vendor lock-in claimed. Sketchflow also inspects the app's requirements to work out which third-party services it needs, generates the corresponding APIs, configuration and environment variables, and lets users enter credentials in a managed configuration screen. Automated tests run against the generated app, and the AI fixes validated errors before retesting. Web apps publish from inside Sketchflow on a shareable URL, including a customizable subdomain, while mobile builds run in a simulator for testing. A template library covers SaaS, ecommerce, portfolios, marketplaces and dashboards, with public examples such as a fashion marketplace, a sports events app and a shipment tracking platform. The AI Assistant stays available for later changes to logic, design, code and integrations, and accepts reference images for redesigns. Sketchflow best suits founders, product teams and developers who want a fast first draft of a real codebase they can take over, not a locked visual editor.

How do you use Sketchflow.ai?

1Start from the site and sign in
Open the Sketchflow homepage, review the template previews and the one prompt to full-stack app section, then use the login page to create or access an account before building.
2Describe requirements and generate the design plan
Write the product requirements as a prompt. Sketchflow converts them into a structured user journey and workflow map covering architecture and user flows that you can review before any screens are generated.
3Refine the flow in natural language
Adjust the journey by describing changes in plain language, then choose whether to generate the full application or only selected flows. Preview the initial output before committing to the next development step.
4Generate and review the interface
Sketchflow composes screens from UI components with a consistent design system. Review the generated designs and share an interactive preview with collaborators to gather feedback directly.
5Configure integrations and backends
The AI identifies which third party services the app needs and generates APIs, configuration and environment variables. Enter your own credentials in the secure configuration area to connect each service.
6Test, publish and keep iterating
Run automated tests so the AI can fix validated errors, publish the web app on a shareable subdomain, or run the mobile build in a simulator. Use the AI Assistant afterward for logic, design and code changes.

Pros and cons

Pros

Generates native Swift and Kotlin mobile code instead of a cross-platform wrapperAI
Exports full-stack source with no lock-in, so teams can keep working outside the toolAI
Workflow map and natural language editing let you correct requirements before code is writtenAI
Backend targets Spring Boot and NestJS, which fits established enterprise engineering stacksAI
Automated testing with AI fixes and retests is built into the generation loopAI

Cons

No public pricing information on the homepage, so budgeting requires contacting the vendorAI
Backend is limited to Spring Boot and NestJS, which will not suit teams standardized on other stacksAI
The workflow assumes prompt-driven generation, so precise or unusual requirements may need many correction roundsAI
Mobile output can only be run in a simulator from the product, and app store publishing is not describedAI
Templates are weighted toward common consumer and commerce patterns rather than niche domainsAI

How much does Sketchflow.ai cost?

Integrations

The AI detects which third party services an app requires and generates the APIs, configuration and environment variables, with credentials entered and managed in a secure configuration screen.

Learn more

Features

Prompt to project-level full-stack apps, workflow and user journey planning with natural language editing, generated UI designs from composed components with shareable interactive previews, native Swift and Kotlin mobile output, Spring Boot and NestJS backends, automatic integration generation, AI driven testing and fixes, one click web publishing, and an AI Assistant for ongoing changes.

Learn more

Frequently asked questions about Sketchflow.ai

How do you use Sketchflow.ai?
The walkthrough on this page covers 6 steps: 1. Start from the site and sign in 2. Describe requirements and generate the design plan 3. Refine the flow in natural language 4. Generate and review the interface 5. Configure integrations and backends 6. Test, publish and keep iterating.
What platforms does Sketchflow.ai support?
Sketchflow.ai is available on Web App, iOS and Android.
What does Sketchflow.ai integrate with?
The AI detects which third party services an app requires and generates the APIs, configuration and environment variables, with credentials entered and managed in a secure configuration screen.
What are the limitations of Sketchflow.ai?
No public pricing information on the homepage, so budgeting requires contacting the vendor. Backend is limited to Spring Boot and NestJS, which will not suit teams standardized on other stacks. The workflow assumes prompt-driven generation, so precise or unusual requirements may need many correction rounds.