Prompt-to-app delivery workspace

Reduce manual coding and handoffs while keeping the team in control of the shipped app. For product teams and agencies turning app ideas or designs into working web and mobile applications, convert a description, Figma file, data model and release constraints into a reviewed, exportable and deployable application. The benefit is a testable hypothesis, measured through accepted screens per delivery hour and post-release defect rate; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect the app description, Figma file, data model and release constraints, then follow this sequence: 1. Generate a working application from a description or prompt. 2. Convert Figma designs into app code. 3. Adjust UI, layout and components in a visual editor. 4. Build interfaces by dragging and dropping elements. 5. Connect apps to databases, APIs and backend services. 6. Export the generated source code. 7. Deploy the app with a single action. Resolve uncertain cases with qualified reviewers, approve the reviewed, exportable and deployable application, and measure accepted screens per delivery hour and post-release defect rate against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One target platform and one approved backend pattern; security review and release approval remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve source attribution, license terms and security requirements. Named owners approve substantive changes and release scope. One target platform and one approved backend pattern; security review and release approval remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One target platform and one approved backend pattern; security review and release approval remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate a working application from a description or prompt; convert Figma designs into app code. Support the remaining modules with operator review: visual editing, backend connection, code export and one-click deployment. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Team-owned repositories, design files and data sources. Cloud build and hosting, design-file import/export, app store and web publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Project brief and sources, Build workspace, Review and release. Use a project gallery, a central multi-screen canvas with a visual editor, and a right-hand panel for data connections, triggers, permissions and comments. Let users compare generated versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant screen. Make the task-specific outcome reviewed, exportable and deployable application visible beside its evidence, review state and value baseline.