AI Product Design Agency
What We Deliver
End-to-end AI product design: from interface architecture and prompt UX to visual design, motion, usability testing, and developer handoff.
AI Interface Design
Agentic Workflow Design
LLM Product UX
AI Onboarding Design
Trust-Gradient Engineering
AI Component Libraries & Design Systems
Prompt UX Design
Usability Testing for AI Products
Visual & Motion Design
Conversational UI/UX
We design AI products that earn trust, reduce friction, and drive adoption, fast.
How We Do It
Our Process
How We Design AI-Native Products
1
AI Behaviour Audit
Before we open Figma, we map what your AI actually does: its capabilities, failure modes, latency profile, and output variability. UX that ignores model behaviour produces interfaces that lie to users. We design honest experiences.
UI-UX Design
2
User Mental Model Research
We study how your target users conceptualise AI: their expectations, anxieties, and trust triggers. Most users overtrust or undertrust AI systems, and both kill retention. We design to calibrate those mental models, not exploit them.
UI-UX Design
3
Intent-Lattice Architecture
We apply our Intent-Lattice Architecture framework to structure the information environment: what the AI surfaces proactively, what stays on demand, and how the product communicates uncertainty without eroding confidence. This is the skeleton every AI-native product needs before a single pixel is placed.
UI-UX Design
4
Interaction & Prompt Design
We design how users direct the AI, how it responds, how it handles ambiguity, and how it invites correction. Good prompt UX is invisible. Bad prompt UX is why users paste your outputs into ChatGPT to reformulate them.
UI-UX Design
5
Visual & Motion Design
Loading spinners were designed for deterministic software. AI products need a different motion vocabulary: streaming text, progressive disclosure, confidence gradients, and graceful degradation. We design this layer with the same rigour as static UI.
UI-UX Design
6
Prototype, Test & Iterate
We build interactive Figma prototypes with simulated AI outputs, including edge cases, and run moderated usability sessions before your team writes a line of production code. Issues found in prototype cost a fraction of issues found post-launch.
UI-UX Design
7
Handoff & Design System
You receive pixel-perfect specs, an AI-specific component library, interaction documentation, and a living design system built to scale as your model evolves.
UI-UX Design
Why Goldenflitch for AI Product Design
We are not a generic design studio that added "AI" to their service list. Our AIXD division was built specifically for AI-native product work, and Trust-Gradient Engineering is the proprietary framework that separates products that retain from products that churn.
AI-Native Thinking
We design from the model outward: understanding LLM behaviour, latency, and uncertainty before touching Figma.
Trust-Gradient Engineering
Our proprietary AIXD framework maps every trust-critical moment in the user journey and designs the interface response for each, the difference between week-one adoption and week-three churn.
Intent-Lattice Architecture
We structure what the AI surfaces proactively vs on demand, and how uncertainty is communicated without eroding user confidence.
Rapid Prototyping with Simulated AI Outputs
Interactive Figma prototypes, including AI edge cases: validated with real users before your engineers write a line of code.
Cross-Functional Collaboration
We run working sessions with your ML/AI engineers to align on model behaviour and output formats before design is finalised. No retrofitting.
Scalable AI Design Systems
Every component accounts for AI-specific states: loading, uncertain, streaming, correcting, and is built to scale as your model evolves.
Outcome-Driven, Not Aesthetic-Led
We measure success by activation, task completion, and retention. GoalTeller: +41% activation. ERPForce: 2.3× demo requests. Design that earns its place.
Industry-Agnostic Depth
AI product design across fintech, healthtech, SaaS, consumer, and enterprise: wherever the user's primary interaction is with a model-generated output.
Build the AI Product Your Model Deserves
Your AI is only as powerful as the experience built around it. Goldenflitch designs the trust layer, the interaction layer, and the growth layer.
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©2026
Your Model Works. Your Interface Doesn't Earn the Trust It Needs.
You have a product with serious AI capability underneath it. But the experience around it does not earn user trust. Adoption stalls. Onboarding fails silently. The underlying problem is almost never the model; it is the interface layer. This is the gap AI product design closes.
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