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.

Let's Talk

A capable model does not automatically create a usable product.

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.

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.

1.Define the user promise

We clarify what the system should help users accomplish and where the model’s limitations affect that promise.

1.Define the user promise

We clarify what the system should help users accomplish and where the model’s limitations affect that promise.

2.Map uncertainty

We identify where users need more guidance, feedback, evidence or control across the journey.

2.Map uncertainty

We identify where users need more guidance, feedback, evidence or control across the journey.

3.Design around behaviour

We create flows and interfaces for successful outputs as well as ambiguity, delay, failure and correction.

3.Design around behaviour

We create flows and interfaces for successful outputs as well as ambiguity, delay, failure and correction.

4.Measure understanding and activation

We define the user behaviours that indicate the product is becoming understandable, trusted and useful.

4.Measure understanding and activation

We define the user behaviours that indicate the product is becoming understandable, trusted and useful.

Choose the right starting point

Relevant solutions

For products with traction

Fix the flows that leak revenue

Onboarding, checkout, activation… We redesign the journeys where users drop off, and measure the difference.

Learn more

For pre-launch founders

MVP design, 0->1

We turn your idea into a clear, usable product you can test, pitch to investors, or hand to engineers, typically in 3–6 weeks.

Learn more

For teams shipping weekly

New features, designed to ship

Spec to dev-ready designs with edge cases covered, so your engineers stop guessing and your roadmap stops slipping.

Learn more

For teams without in-house design

Your design team, on subscription

A senior design partner embedded in your workflow ; Slack, async video, weekly deliveries. Pause or cancel anytime.

Learn more

Choose the right starting point

Relevant solutions

For products with traction

Fix the flows that leak revenue

Onboarding, checkout, activation… We redesign the journeys where users drop off, and measure the difference.

Learn more

For pre-launch founders

MVP design, 0->1

We turn your idea into a clear, usable product you can test, pitch to investors, or hand to engineers, typically in 3–6 weeks.

Learn more

For teams shipping weekly

New features, designed to ship

Spec to dev-ready designs with edge cases covered, so your engineers stop guessing and your roadmap stops slipping.

Learn more

For teams without in-house design

Your design team, on subscription

A senior design partner embedded in your workflow ; Slack, async video, weekly deliveries. Pause or cancel anytime.

Learn more

Choose the right starting point

Relevant solutions

For products with traction

Fix the flows that leak revenue

Onboarding, checkout, activation… We redesign the journeys where users drop off, and measure the difference.

Learn more

For pre-launch founders

MVP design, 0->1

We turn your idea into a clear, usable product you can test, pitch to investors, or hand to engineers, typically in 3–6 weeks.

Learn more

For teams shipping weekly

New features, designed to ship

Spec to dev-ready designs with edge cases covered, so your engineers stop guessing and your roadmap stops slipping.

Learn more

For teams without in-house design

Your design team, on subscription

A senior design partner embedded in your workflow ; Slack, async video, weekly deliveries. Pause or cancel anytime.

Learn more

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A New UX for a Smarter, Human-Like AI Coach

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Redesign of the mobile app - UX/UI

Designing The World's First AI Photographer

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AI photography mobile app for creating and refining portraits

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Designing a Safer AI Learning Platform

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A Smarter Way to Find and Manage Influencers

AI-assisted influencer discovery and campaign management platform

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Making Intelligence Easier to Find and Act On

Intelligence platform that turns complex information into actionable insights

Questions founders actually ask us.

Turn AI capability into a product people know how to use.

Show us where users hesitate, abandon or lose confidence. We will explain what we would investigate first and which engagement fits the problem.

Let's Talk

Book a call

A capable model does not automatically create a usable product.

AI onboarding

Prompt and input UX

Output clarity

Trust and explainability

Human control

Activation

AI moments we consider

How we work with AI teams

A focused process, from evidence to launch.

1.Define the user promise

1.Define the user promise

2.Map uncertainty

2.Map uncertainty

3.Design around behaviour

3.Design around behaviour

4.Measure understanding and activation

4.Measure understanding and activation

Choose the right starting point

Relevant solutions

Fix the flows that leak revenue

MVP design, 0->1

New features, designed to ship

Your design team, on subscription

Choose the right starting point

Relevant solutions

Fix the flows that leak revenue

MVP design, 0->1

New features, designed to ship

Your design team, on subscription

Choose the right starting point

Relevant solutions

Fix the flows that leak revenue

MVP design, 0->1

New features, designed to ship

Your design team, on subscription

AI experience shaped around real users not only model capability.

A New UX for a Smarter, Human-Like AI Coach

Designing The World's First AI Photographer

Other examples

Designing a Safer AI Learning Platform

A Smarter Way to Find and Manage Influencers

Making Intelligence Easier to Find and Act On

Questions founders actually ask us.

Do you need access to the model or technical architecture?

Do you need access to the model or technical architecture?

Is this only for fully AI-native products?

Is this only for fully AI-native products?

Can you improve prompts?

Can you improve prompts?

How do you test an AI experience when outputs change?

How do you test an AI experience when outputs change?

Turn AI capability into a product people know how to use.

Turn AI capability into a product people know how to use.

Show us where users hesitate, abandon or lose confidence. We will explain what we would investigate first and which engagement fits the problem.

Show us where users hesitate, abandon or lose confidence. We will explain what we would investigate first and which engagement fits the problem.