AI-generated scripts are usually mostly right and occasionally catastrophically wrong. The problem is you can't tell which it is without running it — and running it on a real server means committing to the outcome.
VibeControls Sandboxes are designed for exactly this scenario. When an AI session generates a deploy script, a migration, or a configuration change, instead of running it directly, send it to a Sandbox.
A Sandbox is a configured, isolated execution environment — Cloudflare Worker or custom compute — with specific resource limits, network egress rules, and secret bindings. It can't accidentally reach your production database or write to your production S3 bucket unless you explicitly configure it to.
Send the AI-generated script to the Sandbox. It runs, captures stdout/stderr, exits. You see the output in the Sandbox logs: was the migration valid? Did the script produce the expected output? Are there any error messages that suggest the script needs revision?
Only when you're satisfied that the sandbox run looks correct do you execute against the real target. The sandbox output is logged to the workspace audit trail alongside the eventual real execution — so you have both the test run and the production run in the same record.
AI acceleration without AI recklessness.
Do it yourself
Run an AI-generated script in an isolated VibeControls sandbox, review its captured output, and only then promote it to a real execution — all in one audited record.
Open the AI assistant panel and ask it to produce your deploy script, migration, or config change. Copy the script it generates.
You should see: The assistant returns a ready-to-test script that you can send to a sandbox instead of running it directly.
Ready to make this your story?
