WeWeb

WeWeb suits builders who want to revise an AI-generated application visually and connect it to existing services. Its plans distinguish building, AI usage and deployment resources. Start with a small read-only interface using a test data source. A working screen does not establish correct authorization, validation or backend behavior, so inspect the complete data path before connecting real customer records.

A practical workflow

1. Define a small screen and its test data.
2. Generate a first version and adjust it visually.
3. Connect a permitted test API.
4. Verify states and permissions before choosing deployment.

Illustrative input

This example describes a task, not a tested output. Adjust the source material and settings to your own situation.

Build a read-only project list from this test API, showing loading, empty and error states without exposing any secret keys.

Result check: Check network requests, access boundaries and behavior at narrow widths before using production data.

Access and alternatives

The Free plan supports building and limited cloud sessions with an AI token allocation, but token renewal was not explicit in the reviewed table. Pricing is marked unconfirmed. Paid developer plans add code export, self-hosting, GitHub sync and more capacity. Cloud resources and backend services have separate limits and costs.

Choose another workflow when its emphasis fits better: FlutterFlow for another visual application-building workflow; Retool for a different internal-app approach.