Make powerful AI feel understandable and useful.
AI product design
We design AI experiences that help users know what to ask, understand what the system is doing, judge its output and stay in control when the answer is uncertain.
The challenge
A capable model does not automatically create a usable product.
AI introduces uncertainty into moments traditional interfaces usually make predictable. Users may not know what to ask, what the system knows, whether an answer is reliable or how to correct it.
The product experience needs to turn technical capability into clear expectations, useful interaction and justified confidence.
What we commonly improve
AI onboarding
Explain what the product can do, what information it needs and how users can reach a useful first outcome.
Prompt and input UX
Replace intimidating blank boxes with examples, structure, progressive guidance and inputs suited to the task.
Output clarity
Organise generated results so users can understand, compare, edit, reuse and act on them.
Trust and explainability
Show relevant sources, limitations, status and reasoning cues without overwhelming users with technical detail.
Human control
Give users clear ways to review, revise, reject, regenerate, undo and recover instead of treating AI output as final.
Activation
Reduce the time and uncertainty between entering the product and experiencing its core value.
AI moments we consider
Expectation setting before the first prompt
Prompt examples and templates
Context collection
File and data permissions
Generation progress and waiting states
Uncertain, partial or failed results
Sources and confidence signals
Editing and refinement
Regeneration and version history
Human approval
Feedback and correction
Privacy and data-use explanations
Clear next steps after an output
How we work with AI teams
A focused process, from evidence to launch.
Choose the right starting point
Relevant services
For products with traction
Measurable activation problems
Use Conversion & UX Flow Optimization for onboarding, activation, checkout or another flow with measurable drop-off.
For pre-launch founders
New AI-native products
Use MVP Product Design to define scope and create a testable, development-ready product.
For teams shipping weekly
An AI feature inside an existing product
Use Product Feature Design to resolve workflows, interface states and engineering details before development.
For teams without in-house design
An evolving AI roadmap
Use the Product Design Subscription for a continuing roadmap of features and improvements.
AI experience shaped around real users not only model capability.
Redesign of the platform - UX/UI
A New UX for a Smarter, Human-Like AI Coach
Redesign of the mobile app - UX/UI
Designing The World's First AI Photographer
Other examples
New feature - UX/UI
Designing a Safer AI Learning Platform
New feature - UX/UI
A Smarter Way to Find and Manage Influencers
New feature - UX/UI
Making Intelligence Easier to Find and Act On
Questions founders actually ask us.
