Vercel has an MCP · Fly is fast · AWS can do anything, so why this?

The deploy button was
never the hard part.
The rest of the stack was.

Vercel ships previews, Fly spins up compute, and your CI already builds environments. Each of those solves one slice for one vendor, and still hands the hard parts back to a person: set up the database, save the secrets right, wire the domain, fix it when it breaks. DeployMill is the one surface where an agent does the whole job, on infrastructure that isn't locked to anybody.

Start deploying → See the comparison
The agent drives the whole loop Not locked to one cloud You describe the stack, not configure it
What we hear

"Doesn't X already do this?"

Fair question, and the honest answer to each one is the same: that tool does a slice of the job, for a single vendor, and still needs you to know how the infrastructure works. Here's what's actually different.

Vercel does deploys and has an MCP.

True, and if you're shipping a Next.js frontend to Vercel, it's great. But Vercel's agent drives Vercel. The day it deploys you to Fly is the day Vercel hands its revenue to Fly, so it won't. And a deploy is one slice. Can that same surface provision your Postgres, hold your secrets so the agent never reads them, give every branch its own isolated database, and pick up where it left off when step four of six fails? That whole loop, not the preview alone, is the product.

I can spin up compute on Fly in seconds, and agents can drive it.

You can, because you know flyctl, volumes, secrets, and how to attach a database. Point an agent at raw Fly and it still stalls on the human-only steps: the secret you paste in, the DNS record you add, the dashboard toggle. DeployMill is the agent-safe layer on top: secrets entered by a human and never returned to the agent, isolated previews, an append-only audit trail, one-call rollback. Give the agent everything it needs to do the job and nothing it could use to hurt you.

We already have AWS, and our CI builds previews.

You do, because your team built it, over weeks, specific to your account and your pipeline. That's real value you already paid for. DeployMill's pitch isn't that it's more powerful than AWS. It's that you didn't build it, it isn't welded to one cloud, and your agent drives the whole thing instead of you hand-wiring each step.

The real difference

Two things none of them do.

Strip away the feature checklists and it comes down to these. They're why DeployMill exists.

01: the whole loop, not the last step

The agent does the whole job, end to end.

Most tools automate the last step. You've already got the repo, the secrets, the database, the terminal open. DeployMill automates the steps before and after too. The agent creates the GitHub repo, scaffolds the app, provisions the database and wires up DATABASE_URL, takes secrets through a human hand-off, deploys, reads the build and runtime logs when something breaks, fixes the code, and rolls back if a deploy goes bad. You never open a terminal, clone a repo, or wonder whether a secret actually got set. Typed, structured tool outputs and partial-failure recovery (failedAt + resume) are what make that a real workflow instead of a demo that falls over on the first error.

02: the whole stack, not just the deploy

You describe the stack instead of configuring it.

Deploying a site is the easy slice. Setting up a Postgres database, storing an API key so it doesn't leak into a log, or handling a file upload that survives the next redeploy is the part that eats your afternoon. DeployMill turns the whole stack (database, secrets, object storage, domains, TLS) into something you describe rather than something you configure, so you stop hand-wiring infrastructure to ship. The surface is plain enough that it isn't only for infra engineers — if you can tell an agent what you want, you can follow the whole thing.

The part the clouds can't copy

Neutral across the providers underneath.

Any cloud can wrap its own platform in an MCP server in a quarter. That's table stakes. What none of them can do is be neutral across their own competitors, because their margin lives in owning the compute. That neutral layer is the whole product here.

🐘

Proven on the database today

Managed Postgres (the house default), Neon, and Supabase are all selectable behind one interface, with more implemented behind the same seam. Your agent asks for a database, and its tool calls don't change when the backend does.

🧩

Every primitive behind a seam

Compute, database, domains, secrets, source, and object storage each sit behind a swappable interface, so no vendor concept leaks into a tool's signature. Compute runs one backend today (Kubernetes), so a second slots in with zero change to the calls your agent makes.

📦

Your code stays yours

Every app lives in your own GitHub repo, not a black box. A single tool hands your agent short-lived, scoped credentials to clone it out whenever you want. No lock-in by construction. If you outgrow us, you walk with everything.

Compare

DeployMill vs. the alternatives.

An honest side-by-side. The single-vendor platforms are genuinely good at what they do; rolling your own is the most powerful and the most work. DeployMill wins on the whole-loop and no-lock-in axes.

Capability DeployMill Single-vendor PaaSVercel · Fly · Railway Roll your ownAWS + CI
Agent drives the whole lifecyclerepo → db → secrets → deploy → logs → rollback ✓ One surface ~ Deploy slice ~ You wire each step
Neutral across providers, no lock-in ✓ Proven on the database — Their platform only — Your one cloud
Secrets the agent can never read ✓ Human-entry vault ~ Varies — You manage them
Isolated preview database + storage per branch ✓ Copy-on-write branch ~ Frontend-first ~ DIY pipeline
Resume a half-finished deploy failedAt + resume — Start over — Custom retry logic
No infrastructure to hand-configure ✓ Describe it ~ Simple apps — Needs an engineer
Audit trail on every change ✓ Append-only ~ Varies ~ You build it
Your code in your own repo, exportable ✓ Always ~ Varies ✓ Yours
Time to first running full-stack app ✓ Minutes, no setup ~ Fast for simple apps — Days to wire up
Straight with you

What it isn't yet.

We'd rather tell you the limits than have you find them.

The honest caveats

Compute runs one backend today (Kubernetes), so compute neutrality is proven at the interface, not yet across two live backends. The database is where you can see two-plus backends behind one seam right now. Preview environments give you a copy-on-write database branch and fresh storage, so you test against production-like data on an isolated copy, not a live mirror of prod. Rollback to the last working image is one tool call, and you can arm it to fire automatically on a failed health check.

And we're a small team shipping fast. The mitigation that actually matters is the one above: your app lives in your own GitHub repo, and get_clone_credentials hands you a scoped token to clone it out anytime. You're never trapped here.

See it do the whole job.

Free to explore, no credit card. Connect Claude or Codex, describe an app, and watch the agent take it from an empty repo to a running URL: database, secrets, domain and all. Then upgrade to Builder when you're ready to run it for real.

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