In the Studio

AI agent and MCP: you ask, it builds and tests

Ask in plain English and the agent builds the database, screens and website, tests them in the Online Test and shows what passed. Or bring your own via MCP.

Screens built by chat

Describe the screen in plain English and the agent creates the page, writes the PHP and Blade, and uses the tables that actually exist in your project.

From the request in the chat to the finished screen in the preview

For:DevCTOManager and CEONo coding

Database built by chat

Ask "create the warranty table linked to the work order" and the agent creates the tables, columns and foreign keys before building the screens.

The request in the chat and the new table listed in the Model

For:No codingManager and CEODev

Roadmap approval in the AI Agent: a fleet management system in 4 phases and 8 tasks, with tasks checked and an Approve button

A whole system, in phases

Ask for an entire system and the agent splits it into phases on the Tasks board. You trim and rename before approving, then go phase by phase.

Roadmap in phases: you uncheck, rename and only then approve

For:CTOManager and CEO

An agent that tests its own work

The agent opens the app in the Online Test, fills in forms, saves and checks values and messages. You get which criteria passed and what to fix.

The agent fills in the app, saves, and only then hands it over verified

For:CTODev

AI Agent session with a request for a repair shop website and, next to it, the finished site running in the Online Test

A website built on request

Ask for a complete website and the agent builds the public pages with design direction, palette and fonts, respecting your brand color.

The request in the chat on the left and the site the agent delivered on the right

For:No codingManager and CEO

Agent Access "Token created" modal with the claude mcp add command ready to paste, token masked
2 screens
  • Agent Access "Token created" modal with the claude mcp add command ready to paste, token masked
    1
  • Agent Access token list with one active token with 3 tools and another revoked, tokens masked
    2

Bring your own agent through MCP Pro AI or Coding Plan

Connect Claude Code or another MCP client to the project and use the Studio agent's tools: screens, database, deploy and Online Test. Each token can only do what you allowed.

Token shown once, with the command ready for Claude Code

For:DevCTO

App MCP server: entities exposed to the AI with the read, create and update verbs for each table
3 screens
  • App MCP server: entities exposed to the AI with the read, create and update verbs for each table
    1
  • Fields of the customer table in the MCP server with ID number, phone and email marked as personal data (PII)
    2
  • MCP server permission matrix by user role, with ready-made read-only and operator templates
    3

Your app's MCP server Pro AI or Coding Plan

Decide what your system's Copilot and external agents can read and do, protect personal data field by field and set permissions per role.

Which tables the AI can see and with which verbs

For:CTODevManager and CEO

Create an account, build a screen, download the project.

No scheduled demo, no discovery call. If the Laravel that comes out doesn’t pass your team’s review, you lost an afternoon.

  1. Create an accountOpen beta, no credit card.
  2. Build a screenVisually, in code, or by asking the AI.
  3. Download the .zipA Laravel project that runs wherever you want.