Skip to main content

Overview

The AI Architect is a design-time agent that turns natural language descriptions into project data models. Describe the business entities you need, with their attributes, types, and relationships, and the AI Architect proposes a data model you can preview in the data model builder and apply to your project. Follow-up messages refine or extend the proposed model instead of starting over, so you can build up a model iteratively.
Available starting with FlowX.AI 5.9.2. The AI Architect is not available in 5.9.0 or 5.9.1 β€” it requires the 5.9.2 platform and AI Platform components.

Key capabilities

Generate a data model from text

Describes-to-model: interprets a natural language description of your business domain and proposes entities, attributes, and types for your project data model.

Extend an existing model

Follow-up messages continue the same conversation and extend or adjust the proposed model: add entities, rename attributes, or change types without regenerating from scratch.

Preview before applying

The proposed model renders as a preview in the data model builder graph, so you can inspect entities and attributes before anything is written to the project.

Apply to your project

Applying the preview creates the entities and attributes in your project data model in one operation.

How to use

1

Open the data model builder

In your project, open the Data Model section.
2

Generate with AI

Select Generate with AI and describe the data model you need β€” the entities, their attributes, and how they relate.
3

Review the preview

The proposed model appears as a preview in the data model graph. Inspect the entities and attributes before accepting anything.
4

Refine with follow-ups

Send follow-up messages to extend or adjust the proposal. The agent continues the same thread instead of generating a new model.
5

Apply the model

When the preview matches what you need, apply it. The entities and attributes are created in your project data model.

Best practices

Describe entities and their relationships: Name the business objects you need and how they relate. For example, β€œa Customer with name, email, and date of birth, and a list of Accounts, each with an IBAN and a balance”.

Refine instead of regenerating: Use follow-up messages to add or adjust entities in the proposed model. The agent extends the existing proposal, which keeps the preview consistent.

Don’t apply without reviewing the preview: The preview exists so you can check attribute names and types against your conventions before they are created in the project.

AI Designer

Generate UI layouts that map to your data model

AI Developer

Generate business rules and integration logic

Agent Builder

Overview of AI agents and the Agent Builder
Last modified on July 9, 2026