Make the first version real.
Turn the problem you see into a product people can try: build a working first version with AI, share it with users, and deploy it with a database and payments.
Turn the problem you see into a product people can try.
Describe the problem and the one workflow that solves it. Build a full-stack app, review its preview, and refine it with user feedback. Add a database, file uploads, and Stripe payments when the product needs them.
Less distance between conviction and product.
Start with one clear user problem. Shape a focused experience. Learn from a working product.
First product release
Describe one user workflow, inspect the generated files and live preview, then refine the app before its first deployment.
Account-based onboarding
Add signup and login after the base app exists, then protect the pages where users manage their information.
Feedback into the next release
Edit the same project as users try it. Save checkpoints and restore an earlier version when you need to revisit a decision.
Start from the problem
Describe your users, the job they need to do, and the outcome your first version should deliver.
Show something tangible
Share a link to a frozen snapshot of the app so users and collaborators can try it before you deploy anything.
Iterate with context
Refine copy, flows, and application behavior as feedback makes the next step clearer.
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
Do I need a complete product specification?
No. Start with a focused description of the problem and the essential workflow. You can refine the application as you test and learn.
How quickly can I show something to users?
A working version renders in the live preview within the first few turns. Share a preview link before you decide to deploy.
Can the first version grow into the real product?
Yes. Keep editing the same project and add authentication, a managed database, storage, and payments as the product takes shape.
Do I own what gets built?
Yes. Push the project to your own GitHub repository at any point.
What does it cost to start?
The Free plan includes one deployment for testing and 500K AI tokens a month. Starter is $29 a month with two deployments, a custom domain, and 5M AI tokens. Pro is $149 a month with five deployments, rollback, and 20M AI tokens.
Can I take payments?
Yes. When the app uses Stripe, the deploy flow injects your Stripe secret key from the encrypted Secrets Vault, and it can add managed Postgres and S3-compatible storage at the same time.
Can I bring in a developer later?
Yes. The project is standard code. Push it to GitHub, and a developer can keep working in their own editor and deploy with the CLI or CI.
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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