Trusted by SF’s top AI & SaaS companies

When an AI product has to be believed

AI products have a specific problem. The model is genuinely new and the interface around it is the same chat box as everyone else’s.

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  1. You vibe coded it and it looks like everyone else’s.

    The tooling got you working in a fortnight and gave every company the same three screens.

  2. The model is remarkable. The interface is a chat box.

    The hard part of your company is invisible, so the surface reads as a wrapper.

  3. Nobody designed what happens when the model is wrong.

    Confidence, correction, escalation and undo are design problems, and almost no MVP has answered them.

  4. Your first assumptions are quietly becoming permanent.

    Early decisions set the tone for everything and get expensive to reverse from the day you ship.

  5. You need something real in weeks, not quarters.

    There is a demo day or a partner call, and a roadmap that does not care about either.

  6. Every demo needs you in the room to explain it.

    If the product cannot carry itself, it does not scale past the founder.

AI SuitUp
“The most impressive part was the attention to detail in their work.”

Valerio Di Palo

Founder @ AI SuitUp

What AI MVP design actually includes

Repositioning & narrative

We settle what the product claims before we design a screen. For AI products that means being specific about what the model does, what it doesn’t, and where the human stays in the loop. Vague AI positioning is the most common reason a good demo fails to land.

Typical outputs:

  1. Narrative and positioning
  2. The one job to prove
  3. Category read
  4. Investor demo script

Information architecture & user flows

We map the flows, including the ones nobody wants to think about. What happens when the model is confident and wrong, when it needs more context, when the user disagrees, and when it has to hand off to a person. Those flows separate a product from a demo.

Typical outputs:

  1. Core flows, end to end
  2. Failure and correction paths
  3. Confidence and escalation
  4. Onboarding and first run

Rapid prototyping

We prototype fast and test the assumptions while they’re still cheap to change. You get a clickable version early, because with an MVP the argument is about whether the idea works, not whether the button is the right blue.

Typical outputs:

  1. Clickable in days
  2. Core flows testable
  3. Assumptions ranked by risk
  4. Validated before UI

MVP interface design

We design the interface, and this is where an AI MVP either reads as a company or a weekend project. Every state, including the ones the tooling never generates: empty, loading, streaming, partial, wrong, and the one with far too much output.

Typical outputs:

  1. Final UI, all screens
  2. Streaming and error states
  3. UI for demo and deck
  4. Components to build on

MVP build

We build the frontend so you have something real rather than a Figma file with a story attached. React and Next.js, wired to your model and your API, shipped in two week cycles.

Typical outputs:

  1. React or Next.js frontend
  2. Wired to your API
  3. Deployed and demo ready
  4. Code in your repo day one
Repositioning & narrativeInformation architecture & user flows

MVPs we’ve shipped

How an MVP runs with us

(01)

Clickable in weeks, not months

You get something real to put in front of people early, because with an MVP the argument is whether the idea works, not whether the button is the right blue.

(02)

Designed for when the model is wrong

Every AI MVP handles the happy path. We design confidence, correction, escalation and undo, which is where trust is actually won.

(03)

Assumptions ranked by risk

We write down what the product is betting on, then test the riskiest one first rather than the easiest one.

(04)

Built, not just drawn

Our engineers ship the frontend wired to your model and your API, so you have a product rather than a Figma file with a story attached.

Why Bricx for your MVP

Anyone can ship a working AI product in a fortnight. That is exactly the problem. When building gets cheap, the only thing separating you from the next twelve companies is design. We set the assumptions deliberately.

01

First assumptions go permanent

What you decide in v1 sets the tone for everything after it, and each of those decisions gets more expensive to reverse from the day you ship.

02

Design for the failure path

Confidence, correction and escalation are what separate a product people trust from a demo that impressed them once.

03

Taste is the moat

AI does the thinking and the first drafts now. What it cannot do is the last ten percent, and that is the whole difference.

04

Real enough to show anyone

A prototype that survives a stranger using it is a different object from one that demos well with you narrating.

MVP work backed by real proof

Ranked three years running

Clutch
4.9/5Client Ratings

30+ verified reviews on Clutch.

Trusted by top SaaS

“We handed Bricx a vague brief and got back a brand that felt inevitable. That’s rare.”
Chirag Kulkarni

Chirag Kulkarni

CEO @Hobbes

99.7%

Client Satisfaction

30+

Industries

Serving clients all across the globe

50+ Projects

Pick the MVP that fits the stage

Options
Prototype sprint
MVP design
Design and build
Best forProving one ideaA fundable first versionSomething you can ship
Typical length2 to 3 weeks4 to 6 weeks6 to 10 weeks
Who you getOne senior designerDesigner plus leadDesigner, lead, engineer
CommitmentFixed scopeMilestone basedMilestone based
What is includedFlows, prototype, screensEverything, plus full UIEverything, plus frontend

Everything else we do

bricx

Let’s build something worth believing.

Zero risk. Real design work delivered before you commit to anything.

AI MVP questions, answered.

Need help?

Book a call with our founder to discuss your project.

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Either. We design and build the frontend, and we wire it to your model and your API. Your backend and your model stay with your team, which is where they should be.

A clickable prototype in two to three weeks. A designed and built MVP in six to ten. If the visual direction is set, individual flows move in days.

Engagements start at $25,000 for fixed scope. Continuous product work runs on a monthly retainer starting at $10,000.

Yes, and it is a useful starting point rather than an embarrassment. It tells us what you actually meant. We usually keep the logic and rebuild the surface.

MVP design proves one idea to one audience fast, and accepts that most of it gets thrown away. Full product design assumes users already exist and the job is making it better.

Our client book is AI and B2B SaaS. Agents, models and the interfaces around them are the work we do most weeks, not a category we are experimenting with.

You do, from the first commit. It lives in your repository and you can take it to any team.

Every file, and you own all of it. Design source, component library, documentation and, where we built it, the code in your repository from the first commit.

Yes. We will connect you with a founder we have done this for, so you hear how it went from their side rather than ours.

We work almost entirely with B2B SaaS and AI companies, across fintech, healthcare, logistics, legal, edtech and infrastructure. If we have not worked in your category, we say so and tell you what that changes.

bricx

Award-winning design studio for
venture-backed AI startups

Ask AI about Bricx

Award-winning design studio for venture-backed AI startups