Your AI agent builds the app. Appbricx makes it production.

Postgres, sign-in, row-level access, server actions, workflows, hosting and rollbacks: one platform your AI agent (or you, in code) builds on, tests as every user, and ships.

From Claude, Cursor, Codex or any MCP client. Real TypeScript and SQL you own.

Connect Claude Code with one command:

claude mcp add --transport http appbricx https://appbricx.com/api/mcp

In Claude (claude.ai or Desktop): Settings, Connectors, Add custom connector, https://appbricx.com/api/mcp

Clinicly, a clinic booking app running on Appbricx, on desktop

What stops hurting.

The problems people hit when an AI-built app meets real users, and what Appbricx does about each one.

  • The AI prototype works in the demo and falls apart with real users: fake sign-in, open data, no backups.

    Real Postgres, sign-in, row-level security for every role, snapshots and hosting from the first day.

  • Every agent rebuilds the same backend, a little differently each time, and gets access control wrong.

    One runtime for the data API, sign-in, files, realtime, workflows, email, payments and AI. Access is SQL policies the platform checks.

  • You can't tell whether what the agent shipped is safe.

    verify signs in as every role and tries every table, page and action before a release. Failures come back with the evidence and the fix.

  • Every change is a slow loop: deploy, click around, paste the error back.

    Checks answer with file and line. call_app hits the real app as any user, workflow dry runs list every effect without sending anything, screenshots click through pages, and explain says why a request was refused. Fewer rounds per change.

  • Shipping is scary: migrations, lost data, no way back.

    Expand-only migrations, a snapshot before every production change, a deploy plan you read first, and rollback in one call, with the data if you want.

  • Lock-in and black boxes.

    Plain TypeScript, React and SQL in your repository. Export at any time, or self-host the single binary.

  • Five vendors and five bills: hosting, database, auth, email, jobs.

    One platform and one bill, and your agent operates all of it.

  • Clients, teammates and agents step on each other.

    Workspaces and roles, project collaborators, one shared draft with revision checks (a stale edit is refused, never lost), versions with labels and diffs, and an audit log of every agent write.

  • AI costs with a markup on top.

    Your agent uses your own model subscription. AI inside your app runs on your own key, at cost.

Two ways to build, one project.

Let your agent do the work, write the code yourself, or both. Agents and people edit the same project, with versions, diffs and restore.

With your AI agent

Connect Claude Code, Cursor, Codex, Claude or any MCP client. The agent creates the project, writes code, adds npm packages and images, applies to dev, calls the running app, dry-runs workflows, takes screenshots, runs the full verify, deploys and rolls back: 54 MCP tools, and run_script to do many of them in one call.

# a few of the 54 tools, as an agent uses them
code { action: "create", kind: "route", name: "/book" }
call_app { kind: "action", as: { kind: "user", role: "member" } }
workflows { action: "dry_run", id: "bookingConfirmed" }
screenshot { steps: [{ click: "Book" }] }
verify {}
deploy { dry_run: true }
Build with your agent

In code, in your editor

The same project is plain files a developer edits in their own editor: app.config.ts, SQL in db/, React routes and components, typed actions in server/, workflows in TypeScript, message templates. appbricx pull and push, the console's Code page, or the dev API.

stillwater/
  app.config.ts          brand, roles, sign-in
  db/schema/*.sql        tables and triggers
  db/access/*.sql        who reads and writes what
  routes/*.tsx           pages, as files
  components/            your React
  server/*.ts            typed actions
  workflows/*.ts         durable workflows
  messages/              email, SMS, notifications
  package.json           npm packages
Build in code

How it works.

  1. Connect your agent

    One command in Claude Code, a custom connector in Claude, the server URL in Cursor, Codex or any MCP client. A browser window asks you to authorize it.

  2. Build and test in dev

    Your agent writes TypeScript and SQL against a dev database and a dev site, then tries it as real users: call_app as any role, workflow dry runs, screenshots.

  3. Verify as every user

    verify signs in as every role and as a signed-out visitor, reads every table and opens every page in a real browser. Red stops the release.

  4. Deploy, and roll back

    Read the plan, then deploy: a snapshot first, expand-only migrations, your own domain. If something is wrong, roll back in one call.

# Claude Code
claude mcp add --transport http appbricx https://appbricx.com/api/mcp

# Claude (claude.ai and Desktop): Settings, Connectors, Add custom connector
https://appbricx.com/api/mcp

# a browser window asks you to authorize it; no token to copy

Know what your agent shipped is safe.

You can't read every line your agent writes. Before a release, verify signs in as every role, tries every table, page and action, and checks production's settings. Failures come back with the evidence and the fix, so the agent can repair them itself.

  • Each role's demo sign-in, and a signed-out visitor
  • Every table read through the API as each of them, with what each one sees
  • Every page opened in a real browser, at desktop and phone width
  • A deploy runs it on a copy of production and stops on red
Production check: all five checks passed. Demo sign-ins, role permissions for 3 roles and 7 tables, signed-out access, workflows armed and database backupsProduction check: all five checks passed. Demo sign-ins, role permissions for 3 roles and 7 tables, signed-out access, workflows armed and database backups

Who it's for.

  • Developers and founders building with AI agents

    You want your agent's speed without giving up production quality or owning the code. Your agent gets a real backend, tests and releases, in TypeScript and SQL you keep.

    From prototype to production
  • Agencies and freelancers shipping client apps

    A workspace per client or one for the agency, collaborators for client reviewers, white-label domains, dev and production per project, a handover with the code and the data, and rollbacks when a client change goes wrong.

    For agencies and freelancers
  • Teams that need software now, without committing to it

    Event apps, campaign sites, pilots, one-off internal workflows and data-collection tools: built by an agent in an afternoon with the same security as a long-lived app. Keep it, grow it, or retire it: your choice.

    Disposable software

Nine live apps. Sign in and try them.

Restaurant bookings, a clinic, a help desk and more, each built by a coding agent on Appbricx, with demo accounts for every role.

Try them all

The live apps in a minute. Each app's own sign-in screen and its AI feature, recorded on the live apps. Waits trimmed.

What you gain over the tools you know.

Each of these is good at something. Here is what changes when your agent builds on Appbricx instead.

All comparisons
  • Lovable

    Good at: Turning a description into a working prototype, fast, in the browser.

    Keep your own agent and model, real roles and access tested per user, staging, versions and rollback, and no credits.

    Appbricx vs Lovable
  • Bolt

    Good at: An in-browser builder that gets a full-stack draft running quickly.

    The same as with Lovable: your own agent and model, access tested per user, staging, versions and rollback, no credits.

    Appbricx vs Bolt
  • Supabase

    Good at: A strong Postgres platform: database, auth, storage and row-level security.

    Not only a database and auth: hosting, server-rendered pages, workflows, verify and deploys, all driven by your agent.

    Appbricx vs Supabase
  • Firebase

    Good at: A mature backend for web and mobile apps, with a document store, rules and hosting.

    Postgres and SQL policies instead of a document store and rules, and code you can take anywhere.

    Appbricx vs Firebase
  • Vercel, Supabase, Resend and a job runner

    Good at: You pick each piece, and each one is good at its job.

    One platform your agent can operate end to end, one bill, and tested releases.

    Appbricx vs a do-it-yourself stack

Everything a production app needs, already running.

The parts every real app needs and every agent would otherwise rebuild. A patient books: a TypeScript workflow emails a confirmation from a template, posts to the front desk's Slack and asks the app's AI to prepare the visit. Each step runs once, even after a retry.

All features
A patient booking starts a TypeScript workflow that sends an email from a template, posts to Slack and asks the app's AI to prepare the visit.Patient booksappointment rowTriggeron.createdWorkflowworkflows/booking.tsEmailstep.send.emailSlack#front-deskAI stepstep.promptA patient booking starts a TypeScript workflow that sends an email from a template, posts to Slack and asks the app's AI to prepare the visit.Patient booksappointment rowTriggeron.createdWorkflowworkflows/booking.tsEmailstep.send.emailSlack#front-deskAI stepstep.prompt

Questions people ask first

The production platform your AI agent builds on: Postgres, sign-in, row-level access, server actions, workflows, hosting and rollbacks. Your agent, or you in code, writes ordinary TypeScript, React and SQL. Appbricx runs it, tests it as every user and ships it. See every feature.
No. There is no AI inside Appbricx that writes your app. You bring your own agent, such as Claude Code, Cursor or Codex, and its model. Appbricx is what it builds on, tests against and ships to.
Claude Code (one claude mcp add command), Claude on claude.ai and Desktop (as a custom connector), Cursor, Codex and any other client that speaks MCP. Scripts and CI use the appbricx CLI or the dev HTTP API with a token. Build with your agent.
No. A project is plain files: app.config.ts, SQL in db/, React routes and components, typed server actions and workflows in TypeScript. Edit them in your own editor and send them with appbricx push, or in the console's Code page. Agents and people can work on the same project. Build in code.
Sign-in for your users, row-level security per role, a data API for every table, typed server actions, durable workflows with schedules and webhooks, realtime, email and SMS templates, integrations such as Slack and Twilio, payments on your own Stripe or Razorpay account, AI on your own key, hosting on your own domain, verify, snapshots and rollback. See every feature.
Before a release, verify signs in as every role and as a signed-out visitor, reads every table through the API as each of them, opens every page in a real browser and checks production's settings. A deploy runs it on a copy of production, and a red report stops the release. Verify.
Every production change takes a snapshot first, and releases apply only expand steps, so the earlier code still fits the schema. Roll back in one call, with the data too if you want, from the console or by asking your agent. Backups and rollback.
Yes. Workspaces have owner, admin, editor and viewer roles, a client can be a collaborator on just their project, every apply is a version with labels and diffs, and every agent write is in the audit log. For agencies and freelancers.
No. Your agent runs on your own model subscription, and Appbricx sells no build credits. AI features inside your app run on your own provider key, at your provider's prices, with no markup. Your plan pays for the apps you run. AI in your app.
Yes. Your app is plain TypeScript, React and SQL that you can pull into your own repository at any time, and every table exports as CSV or JSON. You license the platform that runs it, not your own work.
Yes. Appbricx runs as one Go binary, appbricx serve, with Postgres, on servers you control: your AWS, GCP, Azure or private network. Production use needs the Appbricx Self-Hosted License: $2,499 once, with 12 months of updates, and your version keeps working after that. Evaluation and development need none. Self-host and export. Questions? Write to contact@appbricx.com.
Lovable and Bolt are good at a fast first draft in the browser, with their own AI and credits. Supabase is a strong database and auth platform you assemble the rest around. Appbricx keeps your own agent and model, and gives it the whole production side: real roles and access tested per user, hosting, workflows, staging, versions and rollback. Compared with Lovable · with Bolt · with Supabase · all comparisons.
Building with your own agent: Free ($0, 1 app), Starter $12/mo, Pro $29/mo, Business $99/mo. Self-host on your own servers with a one-time license: $2,499 with 12 months of updates. In India you can pay in rupees. For a custom contract, write to contact@appbricx.com.

Bring your agent. Ship something real today.