Build, preview, share, remix, and deploy full-stack apps with AI
Build full-stack apps with an agentic AI builder, verified edits, live previews, design uploads, click-to-edit, sharing, remixing, and deployment.
Agentic generation with real verification
The builder uses file and sandbox tools to implement requests, run project checks, inspect failures, and revise the result. Full-stack Next.js apps can run with real dependencies and a database in the development sandbox.
Visual iteration before deployment
Attach a screenshot or design reference, select an element in the preview, and describe the change. Use instant client-side preview for fast interface work or the live sandbox for forms, routes, packages, and data.
Share, remix, integrate, and ship
Publish a frozen app snapshot, remix it into a new project, push to GitHub, or deploy with managed Postgres, S3-compatible storage, and Stripe credentials from the encrypted Secrets Vault.
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.
How it works
- Describe the app or push an existing file set into the builder through MCP.
- Review the preview, attach visual references, and select elements to refine.
- Run the full-stack sandbox so the agent can verify routes, dependencies, forms, and data.
- Share or remix the snapshot, push to GitHub, or deploy with managed integrations.
Frequently asked questions
What is the NEXUS AI App Builder?
The NEXUS AI App Builder is an agentic full-stack development workspace. It creates and edits project files from chat, previews the interface, verifies full-stack changes in an isolated development sandbox, and deploys through the NEXUS AI platform.
Does the AI Builder test the code it generates?
Yes. The agent can run project checks inside the development sandbox, inspect errors, change files, and repeat verification.
Can I build from a screenshot or edit a specific element?
Yes. Attach design mockups or screenshots, then select an element in the preview and send its context to chat for a targeted change.
Can I share or remix an AI-built app?
Yes. Publish a frozen client-rendered preview at an unguessable share URL. Signed-in users can remix that snapshot into a new project without changing the original.
Can Claude, Cursor, or Codex send an app to the builder?
Yes. MCP-compatible clients can use nexusai_builder_push to send files into a builder session and receive a preview URL, then use nexusai_builder_pull to retrieve the current files.
Can builder apps use Postgres, S3 storage, and Stripe?
Yes. Builder deployments can provision managed Postgres, attach an S3-compatible bucket, and inject STRIPE_SECRET_KEY from the encrypted Secrets Vault.
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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