Multi-agent AI app launch orchestration.
One prompt. Fourteen specialized agents across ten phases. A deployed app on your own infrastructure plus a drafted launch kit, in a median of under seven minutes - with a contract validator, a hard cost ceiling, and a human approval gate holding the whole thing honest.
How the agents hand off.
Opus emits a spec.md + contract.json: routes, schema, components. The contract is the source of truth every later agent reads.
Generates the schema and migration from the contract, so the data model cannot drift from what the app expects.
Writes API routes that satisfy the contract. A deterministic validator reconciles them against the spec before deploy.
Run in parallel. Frontend emits pages and components; the test agent emits end-to-end specs. Fan-out shaves ~90s.
Pushes to your GitHub, creates a Vercel project, runs the deploy - on your accounts, not ours.
Two independent agents run a 40-point quality audit and an auth/security review in parallel. Failures trigger a focused fixer pass.
Drafts the X thread and LinkedIn post in your voice; renders hero cards via gpt-image-2.
Stages everything behind a human approval gate. Nothing posts to your accounts without your sign-off.
The agent is the model. The orchestration is everything that catches it.
Contract validator
Every agent reads one contract.json. A deterministic pass asserts the backend, frontend, and schema all agree before deploy.
Hard cost ceiling
The orchestrator checks projected spend between phases and aborts before it exceeds your cap. No runaway-agent bill, by design.
Human approval gate
Drafting is autonomous; publishing is not. The launch kit waits behind a non-bypassable gate until you approve it.
Orchestration, explained.
What is multi-agent app launch orchestration?+
It is coordinating many specialized AI agents - planner, database, backend, frontend, deployer, auditor, marketer - across an ordered pipeline so a single prompt produces a deployed, launch-ready app. Moonshift runs 14 agents across 10 phases, with the orchestrator handling sequencing, hand-offs, retries, and the cost ceiling.
Why use multiple agents instead of one large model call?+
Specialization and verification. Each agent has a narrow job and a tight budget, and independent agents (the auditors) check the work of the generators. A single call has no point at which it can be caught when it drifts; an orchestrated pipeline has a contract validator, a fixer loop, and an audit gate between phases.
How does orchestration prevent runaway cost?+
The orchestrator enforces a hard per-run ceiling between phases. Before each phase it checks projected spend against the cap and aborts if the next phase would exceed it. You only pay for completed phases, so the runaway-agent class of incident does not occur.
What keeps the agents from clobbering each other's work?+
A strict DAG and a shared contract. Phases are ordered so downstream agents consume upstream artifacts, and out-of-order writes reject at the tool boundary. The contract.json is the one document every agent reads, which keeps them honest with each other.
Is anything fully autonomous, with no human in the loop?+
Everything up to publishing is autonomous. The publisher agent is explicitly forbidden from posting - it stages the launch kit behind a non-bypassable approval gate. Drafting is automated; publishing to your own accounts is always your call.
How long does an orchestrated run take?+
Median run time is under seven minutes for a prompt-to-deployed app plus a drafted launch kit. Parallel fan-out on the frontend/test and audit phases is what keeps the wall-clock down. Every run leaves a public trace you can replay phase by phase.
Run fourteen agents on your next idea.
A deployed app on your Vercel + GitHub, a database in your account, and a launch kit drafted in your voice - one orchestrated run. 5,000 welcome moons free, no card required.