AI Product Design
UX Research & Strategy • UI Design & Interaction • Agentic Design Systems • Prototype & User Testing • Design Audit & Redesign
Contact UsAI first Design
AI ENGINEERING
Product Development
Web & Growth
Design human-in-the-loop interfaces for multi-agent workflows and automated tools.
hyperAIhyperAI
Autonomous agents without user oversight cause confusion and mistrust.
Custom UI components for AI action output
Multi-agent execution monitoring
Smooth handoff and confirmation gates
Explainable AI decision trees
UX Research & Strategy • UI Design & Interaction • Agentic Design Systems • Prototype & User Testing • Design Audit & Redesign
Agent Interface • Orchestration Dashboard • Human-in-the-Loop • Trust & Transparency • Error Recovery
Web App • Mobile App • Full Stack Development • AI Integration • Cloud Architecture
Brand Identity • Marketing Website • Interactive Motion • Copywriting & Messaging • SEO & Performance
Component Libraries • Design Tokens • Documentation • Governance & Hand-off • Cross-Platform Scaling
From idea to launch-ready AI experiences
Week 1
We start by understanding the problem, business goals, users, constraints, and competitive landscape. For AI products, we also map how the AI behaves, what it outputs, where it fails, and how that shapes the interface.
What we do:
Understand client goals and business context.Define AI feature scope and capabilities.Identify user needs and pain points.Map technical constraints and AI behaviour.What you get:
Discovery report.AI behaviour map.Project scope document.Sprint priorities.Week 2
We turn discovery insights into a clear product direction — information architecture, AI interaction patterns, and a system that can scale with your roadmap.
What we do:
Define product structure and user journeys.Shape AI interaction models and fallbacks.Align UX strategy with technical constraints.Prioritize features for the first release.What you get:
UX strategy brief.Information architecture.AI interaction framework.Release roadmap.Week 3–4
We design high-fidelity interfaces and a reusable system so your AI product feels clear, consistent, and ready for engineering.
What we do:
Craft high-fidelity screens and flows.Build an AI-ready component system.Design empty, loading, and error states.Refine visual hierarchy for trust and clarity.What you get:
UI design files.Design system foundation.Component library.State coverage map.Week 5
We validate the experience with clickable prototypes and feedback loops so decisions are backed by real user signals before build.
What we do:
Build interactive prototypes.Run usability and stakeholder reviews.Test AI-assisted flows with users.Iterate based on validated learnings.What you get:
Clickable prototype.Validation findings.Iteration backlog.Go / no-go recommendations.Week 6
We package everything for a clean engineering handoff and stay close through launch so implementation stays true to the product vision.
What we do:
Prepare specs and developer-ready assets.Walk through edge cases and AI states.Support implementation questions.Review builds against design intent.What you get:
Handoff documentation.Annotated specs.Launch checklist.Post-handoff support.Week 1
We start by understanding the problem, business goals, users, constraints, and competitive landscape. For AI products, we also map how the AI behaves, what it outputs, where it fails, and how that shapes the interface.
What we do:
Understand client goals and business context.Define AI feature scope and capabilities.Identify user needs and pain points.Map technical constraints and AI behaviour.What you get:
Discovery report.AI behaviour map.Project scope document.Sprint priorities.Timelines depend on scope, but every project follows a clear, structured pace from start to finish.
hyperAIOur onboarding drop-off reduced by 37% within the first month.
Wendi Gechter
Head of Growth
−0%
Reduced onboarding drop-off within the first month.Reduced onboarding drop-off
Our demo conversion jumped 2.4× after the new landing page went live.
Wendi Gechter
Head of Growth
$0M
Raised after product redesign.Raised after product redesign.
Our onboarding drop-off reduced by 37% within the first month.
Wendi Gechter
Head of Growth
Our demo conversion jumped 2.4× after the new landing page went live.
Wendi Gechter
Head of Growth
$0M
Raised after product redesign.Raised after product redesign.
Conversion jumped 2.4× after the new landing page went live.
$0M
Raised after product redesign.
AI products have different rules. Here's how design approaches compare.
AI product knowledge
Process & speed
Design thinking
AI product knowledge
Process & speed
Design thinking
AI-native product design is the practice of designing digital interfaces specifically built around AI behavior, including dynamic outputs, probabilistic states, user feedback loops, and adaptive UI. It's fundamentally different from traditional UI/UX design because every screen must account for AI unpredictability and explainability.
AI-native product design is the practice of designing digital interfaces specifically built around AI behavior, including dynamic outputs, probabilistic states, user feedback loops, and adaptive UI. It's fundamentally different from traditional UI/UX design because every screen must account for AI unpredictability and explainability.
Tanjim Islam
CEO of Gr8r
