Studio · prompt-to-app.
Build a working app, agent or simulation by describing it, deployable in a click. See Aether Studio.
Aether Studio turns a prompt into a working, editable app, agent or simulation — wired to your data and the model, deployable to Aether Cloud in a click, with the code yours to eject.
- Category
- AI & ML
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Prompt-to-app tools generate a chat box. The hard part is the app around it.
The current wave of builders turns a prompt into a front-end scaffold or a chatbot. That's the easy 20%. The 80% that makes something shippable — the agent logic, the tool wiring, the data connectors, the guardrails, the auth, the deploy — is still on you. Aether Studio generates the whole application: UI, state, agents, capability-gated actions and the prompts, as real code, wired to your data and the model. You describe the outcome; you get an app, not a starting point you finish by hand.
Real code you own — eject any time, no locked builder.
The fastest way to regret a low-code tool is to outgrow it and find your logic trapped inside it. Everything Studio produces is real code against the Aether SDK. Refine it on a visual canvas or in the source; fork, diff and review it like any codebase; and eject to source whenever you want. The builder accelerates you; it never owns you.
Simulation-native apps — the thing a chat-only builder structurally can't make.
Because the model underneath forward-rolls physics, Studio can generate applications that simulate, not just converse: a what-if tool over a digital twin, a policy sandbox for a robot, an engineering front-end that runs real solves. No prompt-to-app tool built on a text model can produce these, because the capability isn't in the model they sit on. And the app deploys to Aether Cloud — managed, VPC or air-gapped — with versioning, rollback and observability wired in.
One brief becomes a working, deployable app — agents, data and guardrails included, the source yours to keep.
> "A control-room app for our turbine fleet: live KPIs from the
historian, a digital-twin viewer, and an agent that explains
anomalies and drafts a maintenance ticket."
Aether Studio generates:
app/ — pages, components, state (real code)
agents/anomaly.ts — capability-gated, eval-tested
data/ — historian + vector connectors, wired
deploy: aether cloud --boundary air-gappedA chat-only builder can draft the dashboard's UI. It can't generate the digital-twin viewer (its model doesn't simulate), wire a capability-gated agent, or deploy air-gapped. Studio does all four, and hands you the code.
Three steps to running.
A prompt becomes a working app — UI, logic, agents and prompts as real code.
Edit on a visual canvas or in the source; wire data and tools.
Ship to managed, VPC or air-gapped in a click; eject to code any time.
Studio · prompt-to-app, in full.
Describe it; get UI, logic, agents and prompts as real code.
Build apps that forward-roll physics, not just chat.
Ship to managed, VPC or air-gapped with versioning and rollback.
It's real code against the Aether SDK — never locked in.
Provision it in a few lines.
Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.
import { aether } from "@aether/sdk";
// Studio · prompt-to-app on Aether Cloud
const res = await aether.ai.studio_prompt_to_app({
model: "aether-40b",
input,
stream: true,
});
for await (const token of res) process.stdout.write(token);At a glance.
- Input
- Prompt → app
- Output
- Real code (Aether SDK)
- Builds
- Apps · agents · sims
- Deploy
- Cloud → air-gapped
- Lock-in
- None — eject any time
Built for real work.
Internal tools and copilots
Domain simulators
Customer-facing AI apps
On one model, not stitched together.
The usual stack runs studio · prompt-to-app in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.
No stitching a vector DB to one place, a warehouse to another and a model to a third — studio · prompt-to-app sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your studio · prompt-to-app — so the data and the model never leave the same governed boundary to talk to each other.
Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.
Good to know.
A prompt-to-app builder — but it builds simulation-native apps on the Aether model, deployable to your boundary, with code you own.
No — eject to real code against the Aether SDK at any time.
Yes — because the model forward-rolls physics, Studio can build what-if and twin apps, not just chat.
Your boundary, your choice.
Pairs well with.
The simulation-native foundation model itself, served as an API — the core every other service builds on.
Low-latency, streaming inference for every model size, with pinned versions and structured output.
Pre-wired multi-node GPU clusters with scheduling, checkpointing and fault tolerance.
Customer-controlled fine-tuning and adapters on data that never leaves your boundary, with eval gates.
Managed notebooks wired to the data platform and GPU compute for exploration and analysis.
Model and prompt registry, evals, deployment and drift monitoring — versioned and auditable.
Run Studio · prompt-to-app on Aether Cloud.
Build a working app, agent or simulation by describing it, deployable in a click. See Aether Studio. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.