# Generative UI Development

Source: https://brainglow.io/services/development-services/generative-ui

Build generative UI with BrainGlow. Present AI results as validated forms, cards and workflows with accessible states, bounded components and human confirmation.

## Overview

Some AI tasks are easier to complete through an interface than a long text response. We design bounded components that turn model output into useful cards, forms or guided actions while keeping behavior understandable.

The model does not get unrestricted control of the interface. We validate the data, constrain the available components and require confirmation where an action changes important information.

## Use cases

- AI copilots presenting structured results
- Guided forms based on a conversation
- Product workflows that need reviewable AI suggestions

## Who this is for

- AI copilots presenting structured results
- Guided forms based on a conversation
- Product workflows that need reviewable AI suggestions

## Deliverables

- Interaction design and approved component vocabulary
- Structured-output schemas and validation
- Responsive components and accessible states
- Action confirmation and recovery behavior
- Evaluation cases for invalid or incomplete output
- Application integration and implementation documentation

## Process

- Identify where a visual interaction improves the task
- Define component schemas and allowed actions
- Build UI states, validation and model integration
- Test incomplete output and user-controlled recovery

## Scope and commercial model

Estimated after discovery

Prototype milestone followed by evaluated implementation

## Acceptance criteria

- Delivery: Agreed acceptance criteria
- Measurement: Baseline and project goals
- Handoff: Documented ownership

Acceptance and measurement are agreed during discovery; outcomes are not guaranteed.

## Questions and answers

### Can the model generate any interface it wants?

We recommend a bounded set of components and validated data. This keeps the interface predictable, testable and consistent with your product.

### Can users edit an AI-generated result?

Yes. Review and correction are often central to the design, especially for forms, extracted data or recommendations that will be saved.

### Is generative UI appropriate for every chatbot?

No. Plain text may be enough. We use visual components when they make a specific task easier to understand or complete.

## Related services

- [ai applications](https://brainglow.io/services/development-services/ai-applications)
- [web applications](https://brainglow.io/services/development-services/web-applications)
- [streaming components](https://brainglow.io/services/development-services/streaming-components)

## Enquire

[Discuss your project](https://brainglow.io/contact). Scope and commercial terms require human confirmation. This reference does not authorize a submission or purchase.