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Operations consoles
Turn recurring database lookups and manual workflows into a focused interface for the team that runs them.
Start from connected sources, dbt models, and saved queries—not a disconnected app canvas. Prompt the interface, inspect the React code, and keep the data layer in the same workspace.
A useful data stack earns its keep by answering concrete questions. These are the decisions this solution is designed to support.
Turn recurring database lookups and manual workflows into a focused interface for the team that runs them.
Build account views and investigation surfaces on the same queries engineers already trust.
Give a workflow its own interface without separating app generation from data modeling and analysis.
Use the databases, synced sources, dbt models, and saved queries already available in the Mako workspace.
Prompt the screens, filters, tables, and interactions the operator needs to complete the job.
The agent builds the interface against the existing data context rather than inventing a separate backend.
Review the generated code and iterate in the same workspace as the queries and models powering the app.
Each solution uses the same connected platform: sync the sources, model the business logic, query with the agent, and turn the result into a dashboard or application. Adopt the modules you need now without rebuilding the context at every layer.
An internal tool is software built for a company's own operators, support team, analysts, or administrators. Common examples include admin panels, account lookup tools, review queues, and operations consoles.
Mako's app builder starts with the data sources, dbt models, and saved queries already present in the workspace, so the generated interface inherits real data context.
Yes. The app builder creates React applications on top of the workspace data layer, and the generated implementation can be inspected and refined.
Open source, self-hostable, and free to start. Connect a source and put the first useful answer on screen.