> // GENERATIVE_UI // AGENTIC_AI
Interfaces that assemble
themselves, safely.
Launch dynamic mobile experiences using Google's GenUI SDK, Gemini LLMs, and custom AI agents built for mobile operations, with enterprise-grade guardrails so generated UI never breaks trust.
Adaptive GenUI Component Trees
Interfaces that assemble themselves from a component library at runtime, driven by model output rather than hardcoded screens.
Gemini LLM Core Integration
Google's GenUI SDK and Gemini models wired directly into your Flutter app, with structured output feeding real UI, not just chat bubbles.
Agentic Workflow Design
Multi-step AI agents that can take real actions inside your product, scoped to the operations you explicitly allow.
> // CAPABILITIES
What GenUI engineering actually covers.
Adaptive GenUI Component Trees
Interfaces that assemble themselves from a component library at runtime, driven by model output rather than hardcoded screens.
Gemini LLM Core Integration
Google's GenUI SDK and Gemini models wired directly into your Flutter app, with structured output feeding real UI, not just chat bubbles.
Agentic Workflow Design
Multi-step AI agents that can take real actions inside your product, scoped to the operations you explicitly allow.
Enterprise Safety & Guardrails
Output validation, action allowlists, and fallback UI so a model mistake degrades gracefully instead of breaking the app.
> // ENGAGEMENT_FLOW
From scoped use case to production agent.
Scope the Use Case
We identify where dynamic, model-driven UI actually adds value versus where a conventional screen is simpler and more reliable.
Design the Component Contract
We define the component library and schema the model is allowed to generate against, so output stays predictable and on-brand.
Build & Guardrail
We implement the integration, validation layer, and fallback states, then test against adversarial and malformed model output.
Ship & Monitor
Deployment with logging on generated UI and agent actions, so you can see what the model is actually doing in production.
Good fit if...
- [+]Your interface needs to adapt to genuinely unpredictable user context.
- [+]You already have a stable Flutter and Firebase (or comparable) foundation.
- [+]You need agents that take real, scoped actions, not just chat responses.
Probably not, if...
- [-]A conventional, well-designed screen set already covers your use cases.
- [-]You have not yet validated whether AI-driven UI is the right call at all.
// Still deciding? Start with GenUI Strategy instead.
> // FREQUENTLY_ASKED_QUESTIONS
Frequently Asked Questions
GenUI (Generative UI) means the interface itself is partly assembled by an AI model at runtime from a defined set of components, rather than being entirely hardcoded by a developer ahead of time. The model decides what to show based on context; your component library decides what is possible to show.
No. A chatbot returns text into a fixed chat UI. GenUI returns structured output that assembles into real interface components, buttons, forms, cards, charts, inside your actual app, adapted to what the user is doing in that moment.
Through a constrained component contract and validation layer. The model can only select from and populate a defined, tested set of UI components; it cannot generate arbitrary code. Malformed or out-of-contract output falls back to a safe default UI rather than rendering.
Most products do not need GenUI. It earns its complexity when the interface genuinely needs to adapt to unpredictable, high-variance user context, think personalized dashboards or agentic task flows, where a fixed screen set would require an unmanageable number of variants.
Yes. GenUI and agentic workflows are typically layered onto an existing Flutter and Firebase foundation rather than requiring a rebuild, provided the underlying architecture is sound.
> // NEXT_STEP
Ready to explore GenUI for your product?
In 30 minutes, we will clarify whether GenUI is the right fit and what a scoped first build would look like.