The AI app builder that hands you the code.
Most AI app builders show you a live preview and keep the app on their platform. AppMaking builds the app and gives it to you — complete source code, a private GitHub repo, and a working AI agent inside. Deploy it anywhere. Cancel any time. The app stays yours.
What "AI app builder" usually means.
The term covers three very different kinds of product, and the differences only show up after you've built something you care about:
- Prompt-to-preview builders — you type an idea, a working preview appears in the browser. Fast and impressive. The app usually lives on their infrastructure, billed per seat or per usage, and leaving means migrating.
- AI coding assistants — Copilot-style tools that make a developer faster. Powerful if you already are a developer; not a path to an app if you aren't.
- Agentic application platforms — you describe the product; a team of specialized AI agents designs, builds, and verifies it, then hands over the finished project. This is AppMaking's category: the deliverable is the source code itself, not access to a hosted app.
Hosted AI builders vs. AppMaking.
| Typical hosted AI builder | AppMaking | |
|---|---|---|
| What you get | An app running on their platform | Complete source code in a private GitHub repo |
| Hosting | Theirs — you stay on it | Yours — any Node.js host, no AppMaking dependency |
| If you cancel | App usually stops or is exported with limits | Every app you built keeps working; it's your code |
| Pricing model | Usage/token-based, can spike | Flat monthly credits — 1 build = 100 credits, capped |
| AI inside your app | Rarely; usually the AI only builds | Every app ships a working in-app agent (POST /api/agent/chat) |
| API keys | Theirs, with markup | Your own Anthropic/Supabase/Stripe keys, no markup |
| Verifiability | Marketing claims | Public agent roster at /api/agents, architecture at /api/agentic |
The trade-off is real and worth stating plainly: hosted builders give you one-click deploy on their platform; AppMaking gives you a SETUP.md and freedom. If you want your app on infrastructure you control — or you simply want to own what you paid to build — that trade favors AppMaking.
What a build actually contains.
server.js
An Express backend with real REST routes, authentication, payment-ready endpoints, and the app's built-in AI agent — readable, commented, extendable.
index.html + app.html
A landing page and a dashboard UI, responsive and honest about what the app does. No fabricated testimonials, no invented metrics.
schema.sql
A Postgres schema with row-level security, so each signed-in user only ever sees their own data — enforced at the database, not just the UI.
SETUP.md + AGENTS.md
A step-by-step deployment guide anyone can follow, and documentation of the in-app agent's role, tools, and permission boundary.
Every build passes an AI QA gate before delivery — automated checks that block broken code from reaching you, with an AI Staff Engineer repairing and re-verifying anything QA catches. The full workforce behind a build is described on the AI team page.
Developers and non-developers use it differently.
If you're a developer
Skip the scaffolding week. You get a clean Express + Postgres project with auth, RLS, and an agent endpoint already wired — then extend it in your own editor, on your own repo, with no platform in the way.
If you're not
Describe the product in plain English; the AI team asks a few sharp questions and builds it. Deployment is a checklist, not a skill — and the AI Support Engineer stays on after delivery to make changes for you in plain English.
How it works.
- 1 — Describe it. Write what you want: the pages, the data, the features. An AI Product Manager reads it and clarifies what matters before anything is built.
- 2 — The AI team builds it. Architect, backend, frontend, and database engineers produce the full stack; QA verifies it; DevOps packages it into your private GitHub repo.
- 3 — Own and deploy. Drop in your keys, follow SETUP.md, and put it on any host you like. From that moment the app has no dependency on AppMaking at all.
Want the deeper how-to, including what a good app description looks like? Read the guide: how to build an app with AI. Building something with subscriptions and billing? See build a SaaS with AI.
Flat credits. No usage anxiety.
AI builders that bill by token make every prompt feel like a taxi meter. AppMaking's plans are flat and capped: Vibe $9/mo (300 credits ≈ 3 builds), Pro $19/mo (600 credits), Teams $49/mo (1,500 credits). A standard build is always 100 credits; a chat message is 1 credit. When credits run out, you top up on purpose — nothing bills silently. Full details on the pricing section.
And because you own the code, the economics compound. Your deployed app's running costs are paid directly to your host and API providers at cost — AppMaking takes no cut of your app's usage, revenue, or growth.
Straight answers.
AppMaking delivers the complete source of every build — server.js, public/index.html, public/app.html, schema.sql, AGENTS.md, SETUP.md — as a download and a private GitHub repo under your account. Many hosted builders keep the app on their platform or gate export behind higher tiers.
No. Describing the app is plain English, and deploying is a step-by-step checklist in SETUP.md — create a few accounts, paste a few keys. Developers, meanwhile, get a codebase they'd actually want to inherit.
No. Apps are standard Express + Postgres with your own API keys and no proprietary runtime. Cancel your subscription and everything you built keeps working, because it runs on your infrastructure, not ours.
From $9/month for about 3 builds. Flat credits, hard caps, top-ups only when you choose. See pricing.
Software with a working AI agent inside — one that completes tasks for your users instead of just displaying screens. Every app AppMaking builds ships with one. Full definition on the Agentic Applications page.
See it, then build one.
Browse real apps in the gallery, or describe your own idea and get the code.