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Verceptiona Vercel on Vercel experiment

Deploy anything you build.

Web apps, APIs, backends, and AI agents. Every change gets a preview URL. Production runs on your domain with HTTPS.

Start deployingSee how to deploy

Works with what you build

Each of these deploys with no settings.

  • Next.js
  • Vite
  • Astro
  • Express
  • FastAPI
  • Static HTML

From preview to production

What each project gets after its first deployment.

  • Preview every change. Ship it when it is ready.

    Check each change on its own URL before your users see it. Promote it when it is ready, and roll back in seconds when it is not.

    • A preview URL for every deployment
    • Promote and roll back from the dashboard or the API
    • Roll back with no new build

  • APIs, backends, and agents that scale

    Server code runs only when requests arrive, and more instances start when traffic grows. Agents stream replies over open connections.

    • No servers to size or manage
    • Node.js and Python backends
    • Streaming replies for AI agents

  • Production on your domain, with HTTPS

    Add your subdomain, create the DNS records that Verception shows, and the certificate is automatic.

    • Copy each DNS record from the dashboard
    • A DNS check tells you what is still missing
    • Every project also gets its own Verception URL

More than hosting

Run code and call AI models with the same API key.

  • Sandboxes for code that you do not trust

    Run code from an AI agent or a user in an isolated Linux machine. A sandbox keeps its files, stops by itself, and starts again on the next command.

    • Node.js, Python, or both, ready in about a second
    • A terminal in the dashboard, and commands through the API
    • Public URLs for the ports of your servers

  • AI models through one API

    Call models from many providers with the OpenAI format. Point an OpenAI SDK at Verception, and keep your API key.

    • Hundreds of models, with prices in the dashboard
    • Streaming replies for chat and agents
    • Daily request and spend limits for each account

How to deploy

Your first deployment takes about a minute.

  1. Create an account

    An email and a password. No credit card.

  2. Describe it, drop it, or import it

    Describe your app in a sentence and Verception writes the code. Or drop a folder, a .zip, or one HTML file. Or import a GitHub repository, and each push deploys.

  3. Open your URL

    Verception builds the code and gives you a URL. Later changes get a preview URL first.

Prefer the terminal?

Every action in the dashboard has an API endpoint. Create an API key in your account settings, and send it in the Authorization header.

Terminal
curl https://api.verception.dev/v1/projects \
    -H "Authorization: Bearer $VERCEPTION_API_KEY"{  "projects": [    {      "name": "chat",      "productionUrl": "https://chat-alice.apps.verception.dev"    }  ]}

Free while the experiment runs

These limits apply to each account.

Projects

5

Deployments per day

50

Largest file

4.0 MB

Files per deployment

5,000

Sandboxes

5

Chat messages per day

20

Questions

What can I deploy?

Web apps, APIs, backends, and AI agents. Next.js, Vite, Astro, Express, FastAPI, and static HTML deploy with no settings. For other tools, set the build command and the output directory in the project settings.

Do I need a Git repository?

No. Drop a folder, a .zip, or files on the dashboard, or send the files through the API. Only the files that changed upload. If your code is on GitHub, import the repository: each push to the default branch deploys to production, and each pull request gets a preview.

What does it cost?

Nothing while the experiment runs. Each account has the limits shown above.

Can I use my own domain?

Yes, a subdomain such as www.example.com. Add it in the project settings, create the DNS records shown, and HTTPS is automatic. Apex domains such as example.com are not supported yet.

Where do I keep secrets such as API keys?

In the environment variables of the project. Values are encrypted. After you save a value, nobody can read it back, you included.

Can I run code that I do not trust?

Yes, in a sandbox: an isolated Linux machine with Node.js or Python. Create one in the dashboard or with your API key, run commands, and open its ports on a public URL. A sandbox keeps its files until you delete it.

Can I call AI models?

Yes. Point an OpenAI SDK at the AI API, and use your Verception API key. Each account has a daily limit of AI requests and a daily limit of AI spend. The AI page in the dashboard shows your limits, a playground, and the list of models.

Can an AI agent use Verception?

Yes. An agent can read the API docs, the OpenAPI document, and llms.txt with no account. With an API key or an OAuth sign-in, it can call the REST API or the MCP server as the user.

Why is it called Verception?

Verception is a Vercel inside Vercel, like the dream inside a dream in the film Inception. It is an experiment that shows how to build a deploy platform on Vercel for Platforms.

Can I delete my data?

Yes. Delete a project in its settings, or delete your account in the account settings. Both remove every deployment, domain, and key at once.

Ship your next change on Verception

Create an account, and deploy your first project in a minute.

Start deploying