Rapid application development · AI-native
Describe the app. Watch it build itself.
EveriApp is RAD for the AI era: watch real code stream in live, build on a shared backend you configure once, and ship featherweight frontends to your own servers in seconds.
Built for RAD teams
The speed of classic rapid-application-development platforms — with real code, full transparency, and none of the lock-in.
Watch the code write itself
Every file streams into a real editor, live, as the AI writes it. Real React + TypeScript you own and can read — never a black box.
One backend. Every app.
Databases, REST APIs, AI providers — connect them once at the platform level and every app you build reuses them. A new app starts with zero setup.
Featherweight frontends
Apps are lean frontends on the shared platform backend, so updates deploy in seconds — blue/green, health-checked, with automatic rollback.
From sentence to shipped app
Three steps. No boilerplate, no YAML, no cloud lock-in.
Describe it
Tell the Builder what you want in plain English — “a ticketing app for our store ops team, with priorities and an approval queue.” No boilerplate, no setup.
It builds — and fixes — itself
The AI streams a real React + TypeScript project, file by file. Every build is type-checked, compiled, booted, and probed at runtime; failures go straight back to the AI to fix before you ever see them.
Ship it anywhere
One-click deploy to your own servers with health checks, blue/green switchover, and auto-rollback. Publish to the marketplace or embed it in any site when you're ready to share.
Watch the AI write the code — live
This isn't a black box that hands you a bundle. The Builder streams every file into a real code editor as it's written, and takes responsibility for making it run.
- Real React 19 + TypeScript projects you can open, read, and edit — you own the code
- Follow along file by file as the app takes shape, like pair-programming with the AI
- Self-healing loop: build or runtime errors are fed back to the AI automatically
- Nothing ships until it type-checks, compiles, boots, and passes a runtime probe
Configure once. Every app inherits it.
Apps are lightweight frontends on one governed platform backend. Databases, REST APIs, and AI providers are platform connections — set up once by an admin, reused by every app.
- PostgreSQL, MySQL, SQL Server, Oracle, and REST APIs as first-class connections
- AI providers are connections too: keys validated, models listed, one aiChat call away
- Credentials live in the platform's encrypted vault — never in app code
- Deny-by-default grants: an app touches only the connections you bind to it
Test it live. See everything it does.
A hot-reloading preview runs beside the chat, and the App Inspector narrates what's happening behind the UI — in plain English.
- Story mode: “You clicked Save order → the app asked the database → the database refused: customer_id can't be empty”
- Timeline mode: a developer waterfall with status, latency, tokens, and cost
- Live follow streams events in near-real-time while you click through your app
- Test with AI: a copilot that watches, flags repeated errors and slow calls, and helps you fix them
Every app gets an AI assistant — with one toggle
Flip a switch and your generated app ships with a floating AI assistant that understands the app it lives in.
- Context-aware: it reads the current page and data, and can act on the UI
- Per-app system prompt, model, and action schema — tune it to the domain
- Every invocation metered: tokens, cost, latency, per app and per user
- Same one-click path adds a bug-report widget with screenshot and console capture
Featherweight deploys to your own servers
Because apps are lean frontends on the shared platform backend, a deploy ships kilobytes, not containers. A tiny agent turns any Windows or Linux box into a target — no Docker, no Kubernetes.
- Updates deploy in seconds: the frontend bundle moves, the backend stays put
- Register a target once; deploy any version to it with one click
- Blue/green: the new version boots on a second port and traffic only switches when it's healthy
- Continuous health probes with automatic rollback to the last good version
Wire apps to your real data
Connect PostgreSQL, MySQL, SQL Server, or Oracle once — then let generated apps query governed, parameterized datasets instead of raw SQL.
- Apps call useDataset("orders", { customer_id }) — the platform handles SQL, auth, and caching
- Parameterized queries with automatic current-user injection for per-user data
- PII columns can be flagged and redacted for non-admin users
- Lineage and impact analysis: see exactly which apps depend on a dataset before you change it
Enterprise-grade from the first install
Identity, secrets, and compliance are built into the platform — not bolted on later.
- SSO via LDAP / Active Directory, SAML 2.0, and OIDC, with role mapping and teams
- Secrets encrypted at rest (Fernet), organized by category, never exposed to generated apps
- Full audit log with SIEM export; security and dependency scans gate publishing
- Scheduled database backups with on-demand restore
…and the parts you'd otherwise build yourself
The unglamorous 80% of shipping internal software, included.
Immutable versions & rollback
Every save is a checksummed snapshot. Roll back to any version without losing history.
AI bug triage
User bug reports arrive with screenshot, console, and network context — and an AI root-cause analysis.
Generation traces
Replay any build: every prompt, decision, and self-heal iteration is recorded and inspectable.
Embed anywhere
Signed, short-lived iframe tokens let you drop an app into any site — safely.
Usage & cost analytics
Unique users, events, and LLM spend per app — know exactly what everything costs.
Setup wizards
Design a first-run wizard for your app; installers configure connections and secrets themselves.
Security scanning
Static code checks and npm CVE scans run before an app can be published.
Bring your own models
Anthropic, OpenAI, Bedrock, and more via LiteLLM — pick the right model per task.