Piraplex Engine - Spec to Schema

A sentence becomes a real data model.

Before any code is written, PIRAPLEX turns your description into a structured schema. This is the foundation every other agent builds on.

Description in, schema out.

Here is a single worked example, shown end to end. The description on the left becomes the model on the right.

Entities are pulled from language

Nouns and their relationships in your description become candidate tables and foreign keys. A task app with teams and roles implies users, teams, memberships, and tasks.

Constraints are inferred, then made explicit

Ownership, uniqueness, and required fields are proposed from context - a task belongs to one team, an email is unique - and surfaced so you can confirm them.

The schema is the contract

Every downstream agent reads this model. The backend builds against it and the frontend renders it, so the whole system stays internally consistent.

The spec

"A task app where teams have members, members have roles, and each task belongs to a team and an assignee."

schema.prisma
model User {
id uuid @id @default(uuid())
email string @unique
memberships Membership[]
}
model Team {
id uuid @id @default(uuid())
name string
tasks Task[]
}
model Task {
id uuid @id @default(uuid())
title string
team Team @relation(...)
assignee User @relation(...)
}
What the Schema Agent handles

More than a list of tables.

A good data model is the difference between a system that holds together and one that fights itself later. The schema agent gets the foundations right first.

Tables and fields

Entities become tables with typed columns, sensible defaults, and primary keys - inferred from how you describe the app.

Relationships

One-to-many and many-to-many links are drawn between models, with join tables created where they are needed.

Constraints

Uniqueness, required fields, and ownership rules are proposed and surfaced for you to confirm before the build proceeds.

Safe changes

When you revise the spec later, the model is migrated forward rather than rebuilt, so existing structure is preserved.

See your own spec become a schema.

Describe your idea and watch the schema agent draw the first version of your data model.