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The demo gets shared. The second answer decides whether they stay.

Nobody leaves because the model was wrong once. They leave because when it was wrong there was nowhere to go, and no way to tell how it got there.

What we find

The demo is astonishing and retention isn't.

What you get

Show the work. Handle being wrong.

We watch people hit a bad answer, because that moment decides everything after it. Then we design what the system shows about its reasoning, how confidence is expressed without an invented percentage, and what a person does in one action when it gets it wrong.

How it runs

Find the trust gap, show the work, design the recovery, make control visible.

01

Find the trust gap

Usually the first wrong answer, and what happened next.

02

Show the work

Sources, reasoning and limits, without the theatre.

03

Design the recovery

One action, not a support ticket.

04

Make control visible

Because the buyer is going to ask.

What we think

The model isn't the product. What people do when it's wrong is the product.

Everyone demos the good answer. Retention is decided entirely by the other one.

Proof

See all the work →
Lumin Fitness
Industries

Lumin Fitness

AI coaching people trusted enough to follow mid-workout.

Endeavor
Industries

Endeavor

AI guidance made readable inside a real workflow.

Kronologic
Industries

Kronologic

Automated decisions, explained well enough to be relied on.

Try before anything else

Send us one screen.

Pick the screen that's costing you the most. We redesign it in five working days, free, no contract. You keep the file whether or not we carry on.

01

You send the screen and tell us what it's supposed to do.

02

We redesign it in five working days, and walk you through why every change is there.

03

You keep the file. If it lands, we talk about a pod. If it doesn't, you're still one screen better off.

Send me the screen

One screen per company. We take three of these a month, so tell us early if your date is tight.

Related

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AI Design Agent

How we work with AI, under human control, tied to the metric it moves.

Services

Design from scratch (MVP)

Zero to one. Brand, product and system together, so version one feels finished.

Make the AI trustworthy on screen

Twenty minutes with the founders. Show us the product and we'll tell you where trust breaks.