Generative UI Design Agency
What We Deliver
End-to-end generative UI design: from adaptive component architecture and composition rule systems to dynamic layout logic, model-state design, visual and motion design, and developer handoff. Every deliverable is built for interfaces that render from model output, not interfaces that display it inside a static container.
Generative Interface Design
Composition Rule Systems
Adaptive Component Architecture
Model-State Interface Design
Context-Aware Layout Design
Generative UI Constraint Systems
Dynamic Data Visualisation Design
Streaming & Progressive Disclosure Design
Generative UI Component Library
Prototype, Test & Handoff
We design interfaces that adapt as intelligently as your model does. Most studios design a layout and hope the AI fits inside it. We design the composition logic so the interface is never wrong for what the model produces.
How We Do It
Our Process
How We Design Generative UI Products
1
Output Space Mapping
Before we design anything, we map the full output space of your model: every output type, length range, confidence level, data shape, and edge case it can produce. Generative UI built without this mapping produces interfaces that look designed for the demo output and break on everything else. We design for the full distribution, not the median case.
UI-UX Design
2
User Context Research
We research how different users encounter the same model output in different contexts: device, expertise level, task urgency, and prior familiarity with the data. Generative UI that adapts the model output but not the user context produces layouts that are technically dynamic and experientially wrong. We design for both axes simultaneously.
UI-UX Design
3
Composition Rule System Design
We design the ruleset that governs how your interface composes itself: which components fire for which output types, how layout density is calibrated to content weight, how hierarchy is maintained when the model produces outputs of radically different lengths, and how the system fails gracefully when output falls outside expected ranges. This is the skeleton of every generative UI.
UI-UX Design
4
Adaptive Component Design
We design every component in your generative UI to hold its integrity across the full range of model outputs it will contain. Each component ships with a defined set of adaptive states: minimum viable content, optimal content, overloaded content, uncertain output, streaming, and corrected, so the interface never visually breaks regardless of what the model returns.
UI-UX Design
5
Streaming & Progressive Disclosure Design
Most generative outputs do not arrive instantaneously. We design the full streaming experience: skeleton states, progressive content reveal, in-flight action surfacing, and the moment the interface transitions from rendering to interactive. Getting this layer right is the difference between a product that feels fast and responsive and one that feels perpetually in a loading state.
UI-UX Design
6
Visual & Motion Design
Generative interfaces move. When a layout recomposes in response to a new output, the transition must feel intentional, not jarring. We design the full motion vocabulary for generative UI: layout transitions, component state changes, density animations, and error-state recoveries. Motion that reflects the generative nature of the product rather than masking it.
UI-UX Design
7
Prototype & Usability Testing
We build interactive Figma prototypes that simulate the full range of model outputs: high-confidence, low-confidence, data-heavy, minimal, edge-case, and run moderated usability sessions to test how users interpret and act on dynamically composed layouts. Generative UI has a larger failure surface than static UI. We stress-test the composition system before production.
UI-UX Design
8
Generative Design System & Token Architecture
We build the design system that makes generative UI scalable: a token architecture that covers base, semantic, and generative-state layers; a component library with all adaptive variants documented; and a living system built to absorb new model outputs and user contexts without requiring a full redesign. The design system is the long-term infrastructure your generative product runs on.
UI-UX Design
9
Developer Handoff & Implementation Support
We hand off pixel-perfect specs, full adaptive component documentation, composition rule logic written for engineering consumption, and a generative UI implementation guide. We run a working session with your frontend team to walk through the composition system and answer the questions that specs alone never fully answer, so the generative UI your engineers build matches the one we designed and tested.
UI-UX Design
Why Goldenflitch for Generative UI Design
We are not a design studio that builds a polished static layout and calls it generative. Our AIXD division was built for AI-native product work, and our Generative UI framework is the proprietary methodology we use to design interfaces from the model's output space outward: composition logic, adaptive components, constraint systems, and the full streaming and state layer that static UX methods were never designed to address.
Output-Space-First Thinking
We map the full distribution of your model's outputs, every type, length, confidence level, and edge case, before designing a single component. Generative UI designed for the median output breaks at the edges. We design for the full space.
Composition Rule System Design
We design the ruleset that governs how your interface composes itself in response to model output: layout selection, component configuration, density calibration, and graceful degradation. This is the architecture that holds a generative interface together when the model produces something it wasn't explicitly designed for.
Adaptive Component Architecture
Every component we design ships with the full range of adaptive states it will encounter in production: minimal, optimal, overloaded, streaming, uncertain, and corrected. The interface never visually breaks regardless of what the model returns.
Streaming & Progressive Disclosure
We design the full streaming experience: skeleton states, progressive content reveal, in-flight action surfacing, and the transition from rendering to interactive. Getting this layer right is the difference between a product that feels fast and one that feels perpetually loading.
Generative Motion Design
When a layout recomposes, the transition must feel intentional. We design the full motion vocabulary for generative UI: layout transitions, density animations, component state changes, and error-state recoveries, so the adaptive nature of the interface feels designed, not accidental.
Generative Design System & Token Architecture
We build the three-tier token architecture and adaptive component library that makes generative UI scalable, a system built to absorb new model outputs and user contexts without requiring a full redesign every time your model evolves.
Outcome-Driven, Not Aesthetic-Led
We measure success by task completion, output utilisation, and retention, not by how the static mockup looks. GoalTeller: +41% activation. ERPForce: 2.3× demo requests. Generative UI that earns its place in the product, not just the design review.
Cross-Functional Collaboration
We run working sessions with your ML engineers and frontend team before finalising composition rules and component states. Generative UI designed without engineering input produces specs that look right in Figma and break in production. We close that gap at the design stage.
Build an Interface That Adapts as Intelligently as Your Model
A fixed layout wrapped around a dynamic model is not a product; it is a constraint. If your interface can only show what it was designed to show in the state it was designed to show it, every output your model produces outside that window becomes a UX failure. Goldenflitch designs the composition logic, the adaptive components, and the constraint system that let your interface keep pace with your model.
Explore Related Offerings
Our Clients.
©2026
Your Interface Is Static. Your Model Isn't.
You've built a product where the AI can produce different outputs for different users, contexts, and data states, but every one of those outputs gets poured into the same fixed layout, the same component, the same screen. The result is an interface that fits some states well and most states poorly. Users see truncated outputs, blank panels, misaligned actions, and layouts that clearly weren't designed for what just appeared. The model is adaptive. The interface is not. Generative UI design closes that gap: building the composition logic and constraint system that lets your interface adapt as intelligently as your model does.
All Projects
All Projects
Our Blogs
What’s new
in digital?
