To create a database app from a prompt, describe the records, fields, relationships, user roles, workflows, dashboards, and permissions the business needs. INFORMAT uses that prompt to generate a structured application foundation instead of a blank database.
Step-by-step process
Start by describing the business goal, users, records, process stages, approval rules, dashboards, and AI assistant tasks. Review the generated structure before inviting the wider team.
Example prompt
Write a prompt that includes the system purpose, required tables, user roles, workflow rules, reports, and integrations. Specific business language produces a better first version than a generic request.
Generated tables and fields
Review each generated table for ownership, required fields, status values, relationships, validation rules, and permissions. Good data structure is the foundation for reliable workflows and AI agents.
Recommended workflows
Add workflows for submission, review, approval, exception handling, notifications, reporting, and closure. Start with the most common path, then add edge cases after the first launch.
Common mistakes
Avoid vague prompts, too many fields in the first version, missing status definitions, unclear ownership, and dashboards that do not map to real operating decisions.
Frequently Asked Questions
What makes a good database app prompt?
A good prompt names the business objects, explains how they relate, defines user roles, and lists the actions people need to complete.
Can I change fields after generation?
Yes. You can refine fields, relationships, validation rules, and permissions after the first version is generated.
Teams can use this page as a planning checklist, then turn the same requirements into tables, workflows, dashboards, APIs, and AI agents in INFORMAT.