What you can create
One tool, many formats — these are the things creators actually ship with the ai app builder.
CRMs and pipelines
Leads, deals, stages, and follow-ups with a board view, detail pages, and reminders — seeded so it looks real on load.
Trackers and dashboards
Habits, expenses, workouts, or KPIs with charts, streaks, filters, and a settings screen.
Internal tools and admin panels
Tables with sorting and search, edit drawers, status badges, and validation — the tools your team keeps meaning to build.
AI-powered generators
Cover-art makers, meme tools, product-shot studios, and voiceover apps that call Genfire’s models on the viewer’s credits.
Websites and landing pages
Switch to website mode for a portfolio, a restaurant site, a launch page with a waitlist, or a link-in-bio page.
Prototypes for clients
A clickable, working version of the idea at a URL you can send today — then iterate on the feedback in chat.
Why Genfire
A real app, not a mockup
Every build ships multiple views with client-side routing, lists with search and filters, detail screens, create-and-edit modals, validation, toasts, and a persistent data layer — the full-stack feel, generated from one prompt.
Live at a URL, instantly
Genfire hosts the finished app and hands you a link that runs full-screen in any browser. Watch the code stream in, switch to Preview, and open it on your phone — nothing to install for you or anyone you share it with.
Iterate by chatting, with version history
Ask for a dark mode, a new field, or a different chart and Genfire updates the same app in place. Every change is a version you can preview and restore, so an experiment never costs you a working build.
Apps that generate real media
Building an avatar maker or a voiceover tool? Apps can call Genfire’s image, video, speech, and sound-effect models through a built-in bridge, with live model catalogs, real voice lists, and prices shown before the viewer spends a credit.
App ideas
Steal these to get started — every one is a single click from a result.
How it works
- 1
Describe the app
Write what it does and who it is for. Optionally attach up to eight reference images or assets, pick a coding model, and toggle High quality for a fuller first build.
- 2
Watch it build
Code streams into the editor token by token and the live preview boots as soon as the document is complete — usually within a few minutes.
- 3
Refine, publish, share
Chat to change anything, roll back from History if needed, then hit Publish. Your app appears in the public Genfire Apps gallery with a generated cover and a shareable link.
What “full-stack” means when an AI builds it
Most text-to-app demos produce a screenshot that happens to be HTML: one screen, no data, buttons that do nothing. Genfire’s builder is held to a different contract. Every app models its entities as real records, ships with realistic seeded data so the first paint is a populated dashboard rather than an empty state, and implements genuine create, read, update, and delete flows behind a small API layer that persists to the browser and survives a reload. Add hash-based routing across multiple views, a persistent nav, search and filters, create-and-edit modals, inline validation, and loading, empty, and error states, and you have something that behaves like software — which is what people mean when they ask an AI to build an app.
The build is a conversation, not a one-shot. Code streams into the editor as it is written and the live preview boots the moment the document is complete. From there you switch between Preview, Code, and History, and every request in the iterate bar — “add a dark mode,” “make the pipeline stages editable,” “export to CSV” — produces a new version that preserves what already works. You choose the coding model per build (Fable 5.1, GPT-6 Astra, Opus 5, or Sonnet 5), toggle a High-quality pass for a fuller first version, and attach up to eight reference images or assets the app should use. Each turn is priced in credits and shown on the button before you run it.
Two things make Genfire apps more than hosted HTML. First, they wear the Genfire design system — Inter, zinc neutrals, one orange accent — so a published app is indistinguishable in look from Genfire’s own studios. Second, apps can generate real media. A built-in bridge lets an app call Genfire’s image, video, speech, and sound-effect models on the viewer’s credits, populate its model pickers and voice lists from the live catalog, quote every generation before it runs, and keep a per-viewer history of what they made. Publish adds the app to the public Genfire Apps gallery at /apps with a generated cover. Developers get the same engine headless: an agent can author an app and hand it to Genfire through the genfire_deploy_app and genfire_publish_app MCP tools, or call the App Builder model on the REST API.
Loved by creators
“The interface is so intuitive. I went from signup to my first viral video in under 15 minutes.”
“I use GENFIRE for storyboarding and animatics. It communicates my vision perfectly to clients.”
“We scaled our TikTok output from 3 to 15 videos a week without hiring more editors.”
Frequently asked questions
How does the AI app builder work?
You describe the app you want in plain English and Genfire’s agent writes a complete, self-contained web app — the interface, client-side routing, an in-browser data layer with real create, read, update, and delete flows, and seeded demo data. The app is hosted at a live URL as soon as the build finishes, and you refine it by describing changes.
Do I need to know how to code?
No. You never have to write or read code — you describe the app, review it in the live preview, and ask for changes in plain English. A Code tab is there if you want to see what was generated, but the intended workflow is conversational.
What kinds of apps can I build?
Anything that fits in a self-contained web app with an in-browser data layer: CRMs, trackers, dashboards, planners, kanban boards, invoice managers, admin panels, and internal tools. The builder also has a website mode for landing pages, portfolios, and local-business sites, and apps can call Genfire’s media models for AI-powered generators.
Where does my app run and how do people use it?
Genfire hosts the finished app and gives you a URL that opens full-screen in any desktop or mobile browser with no account required. Publishing adds it to the public Genfire Apps gallery, where anyone can discover and open it.
Can I change the app after it is built?
Yes. Type a change request and Genfire updates the same app in place, preserving the data layer, routing, and screens that already work. Every build is saved as a version in History, and you can preview or restore any earlier one.
Where is the app’s data stored?
Each app ships an in-browser data layer that persists to the viewer’s browser storage under the app’s own namespace, so a reload keeps their records and every viewer has their own data. Media an app generates through the Genfire bridge is saved to that viewer’s Genfire library and returned to the app through a per-user history.
Can I build a website instead of an app?
Yes. The builder has a website mode for landing pages, portfolios, local-business sites, event pages, and link-in-bio pages. It uses the same engine, live preview, version history, and publishing flow as apps.
Can I use the app builder from an AI agent or the API?
Yes. The MCP server exposes genfire_deploy_app, which validates, smoke-tests, and hosts a complete single-file app written by your agent, and genfire_publish_app, which lists it in the public gallery. The App Builder model is also available on the REST API for headless SDK and CLI callers.
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