Make the roadmap tangible.
Give your next product decision a working prototype. Translate requirements into an interactive application, test the flow, and share it with your team.
Give your next product decision a working prototype.
Translate requirements into an interactive application, test the flow, and share the experience with your team. Build a clearer connection between the idea and its implementation.
From an abstract requirement to a shared understanding.
Put the interaction in everyone’s hands. Use real behavior to sharpen the next conversation.
Interactive prototype
Explore a new user journey with working screens and application logic.
Feedback workspace
Build a place to collect requests, organize themes, and track decisions.
Feature concept
Turn a proposed feature into something stakeholders can navigate and discuss.
Express the user journey
Describe the user, the starting point, and the outcome each interaction should support.
Refine the details
Use visual editing and previews to adjust layout, content, and behavior.
Share the same reference
Share a preview with collaborators so discussions start from the same working experience.
App plus database plus worker
A typical NEXUS AI deployment can run a web app, a PostgreSQL database, a Redis queue, and a background worker as one connected service group. The app and worker share the same deployment network, so application code can use internal hostnames such as postgresql and redis instead of hard-coded host ports or external database addresses.
Storage and recovery included
Production apps usually need more than compute. NEXUS AI supports persistent filesystem volumes for apps that write to paths such as /data, S3-compatible buckets for uploads and generated files, database backups, in-place restore, and restore into another compatible service in the same organization.
One workflow across interfaces
The same stack can be managed from the dashboard, CLI, REST API, or MCP tools. Developers can deploy from GitHub, add database services, attach storage, run workers, scale replicas, inspect logs, create backups, and recover data without switching between cloud consoles and hand-built scripts.
Frequently asked questions
Can a prototype become a deployed application?
Yes. You can continue editing the project and deploy it when it is ready. Review functionality, access controls, and integrations before using it in production.
Do I need engineering to build the prototype?
No. Describe the user journey and refine it with visual edits and previews. Engineering reviews the code when a direction moves forward.
How do stakeholders review it?
Share a preview link. Everyone works from the same running experience instead of a written spec or a static mockup.
Can I test more than one direction?
Create a separate project for each approach, subject to your plan’s project limits.
About NEXUS AI
NEXUS AI is an agentic AI app builder and full-stack deployment platform. Explore the AI App Builder, learn more on the About page, read the documentation, or contact the team through nexusai.run/contact.
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