Getting Started
Go from zero to a working app in under 5 minutes.
Create your account
- Go to maker.casagbic.com and enter your email, or sign in with Google or Microsoft.
- Enter the 6-digit verification code sent to your inbox (or click the magic link in the email).
- Complete the onboarding: choose whether you're an individual or an organization, and fill in your details.
You'll receive free starter credits to try the platform.
Create your first project
From the dashboard, click New Project. You have three options:
- Start from scratch: give it a name, pick the app type (web or mobile), and go.
- Import from GitHub: connect your GitHub account and import an existing repository.
- Upload a ZIP: drag and drop a project archive to continue building on existing code.
Write your first prompt
In the project workspace, type what you want to build. Be as specific as you can:
"Create a personal expense tracker. I want to log expenses with a category, amount, and date. Show a monthly summary with a bar chart of spending by category. Use a clean, minimal design with a dark mode option."
Hit send, and the AI starts building. You'll see:
- Files appearing in the file tree as they're created
- The live preview updating as the app takes shape
- Build logs streaming in real-time
Iterate on your project
Once the first version is ready, keep the conversation going:
"Add a budget feature, let me set a monthly budget per category and show a warning when I'm close to the limit."
The AI remembers everything about your project. No need to repeat context.
If the AI isn't sure about something, it'll ask a clarification question. Answer it and the build continues.
Export your code
When you're happy with the result, click Export in the workspace header to download the full source code as a ZIP file. You can also push directly to GitHub.
The code is yours: standard, clean code you can run locally or deploy anywhere.
Tips for better results
- Be specific: "Add a login page with email and password" gives better results than "add auth."
- One feature at a time: break complex apps into individual prompts for cleaner output.
- Mention preferences: tell the AI about your preferred styling, libraries, or patterns.
- Iterate: the first version is a starting point. The best results come from conversation.