Building an app with AI is no longer the hard part. Shipping it is. Most "watch AI build your app" demos quietly end at a working preview — and a preview is not production. Getting from a sentence to a live URL means handling the unglamorous parts a one-shot agent skips: a known target, the right environment, and the credentials to deploy. Here's how to close that gap reliably.
The gap between "it builds" and "it ships"
A green preview tells you the code runs on your machine. A deploy has to answer harder questions: which platform, with what build settings, using which secrets, to which environment? Skip any of those and you get the classic "works in preview, breaks in prod." The fix is to make deployment a known process, not a final improvisation.
Stack packs: deterministic setup, real targets
Start the project from a stack pack — Firebase, Vercel, Netlify, Cloudflare, Supabase, or Fly. A stack pack is deterministic scaffolding: a real project structure, the right dependencies, and a preview/deploy manifest. The app begins life in a shape that platform already understands, so deployment isn't a guess bolted on at the end.
One manifest for preview and deploy
Preview and deploy should read the same manifest. When they do, what you previewed is exactly what ships — same build command, same output, same routing. There's no second, divergent configuration to drift out of sync.
A deploy you can't reproduce isn't a deploy — it's a lucky accident. The manifest is what makes it repeatable.
Credential gating: deploys wait for secrets
The pipeline stays gated until every required credential is present, so a deploy never half-fires with a missing key and leaves you with a broken release. Credentials live in a per-project secrets vault that the agents writing your code never see — the deploy step reads them directly.
Where each stack pack fits
| Platform | Good fit for |
|---|---|
| Firebase | Auth + Firestore apps and fast MVPs |
| Vercel | Next.js and frontend-first apps |
| Netlify | Static sites with serverless functions |
| Cloudflare | Edge workers and global low latency |
| Supabase | Postgres + auth backends |
| Fly | Full containers running close to users |
Ship, then ship again
The real test of a deploy pipeline is the second deploy, and the tenth. Because preview and deploy share a manifest and credentials are gated, every release after the first is the same repeatable step — not a fresh adventure. That's what turns "we got it live once" into "we ship continuously."
From one sentence to a URL — with a manifest, not a prayer, in between.
Frequently asked questions
Can AI agents deploy my app automatically?
They can run the deploy pipeline end to end, but it's gated until every required credential is in place — so a deploy never fires with missing secrets. Preview and deploy share one manifest, so what you previewed is what ships.
Which platforms can Command Fleet deploy to?
Six stack packs: Firebase, Vercel, Netlify, Cloudflare, Supabase, and Fly. Each gives a real project structure and a shared preview/deploy manifest rather than a one-off guess.
What is a stack pack?
A deterministic scaffold for a target platform — project structure, dependencies, and a preview/deploy manifest — so the app starts from a known-good shape instead of an agent improvising the setup.
How do I keep deploy credentials out of agent prompts?
Store them in a per-project secrets vault that's never included in any prompt. The deploy step reads them directly; the agents that wrote the code never see them.
From prompt to production
Command Fleet scaffolds from a stack pack, shares one manifest for preview and deploy, and gates on credentials. Free for 7 days, no credit card.