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Feature exploration
sprint: validate ideas
with proof in 2 weeks.

Transform your feature concepts into validated prototypes. Test market fit and user engagement before full development commitment.

START FEATURE EXPLORATION

Move from uncertainty to proof with a working prototype

The rules of user experience are being rewritten by AI. Here's why static mockups struggle to capture the dynamic nature of AI products.

Week 1.

Define & prototype

Isolate 1-2 critical AI features and build working prototypes with real code

Process

We'll begin with a half-day workshop to define priorities and isolate key AI assumptions.

Our team will proceed with AI model selection and integration, using real code from day one.

We will establish initial performance and cost benchmarks throughout the week.

Outcomes

A working prototype with actual AI functionality to validate technical feasibility.

A clear definition of the success metrics for the feature.

A live demo of the working prototype delivered by Friday for your stakeholders.

Week 2.

Test & measure

Measure actual performance, costs, and identify edge cases with continuous testing

Process

We conduct user testing with real-world scenarios to gather unfiltered feedback on the AI's effectiveness

Our team performs a comprehensive performance and cost analysis.

All findings, including edge cases and failure modes, are documented.

Outcomes

A data-backed report synthesizing all performance metrics, user feedback, risk mitigation, and cost projections.

A go/no-go recommendation to guide your strategic decision.

An implementation roadmap for a seamless handover to your development team (if proceeding).

A partner story: from Figma to a fully functional app

For Way2B1, we built a functional AI prototype that moved stakeholders beyond mockups and demonstrated clear product value. This demo eliminated ambiguity and forged a shared vision across the entire team.

Feature exploration sprint: validate ideas with proof in 2 weeks Cieden
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Ready to jumpstart your project?

Transform your feature concepts into validated prototypes. Test market fit and user engagement before full development commitment.

PLAN YOUR SPRINT

clients .

Teams that trust us .

Feature exploration sprint: validate ideas with proof in 2 weeks Cieden Check them out
First sales tech unicorn minted in 2023
hit >$100M ARR
Feature exploration sprint: validate ideas with proof in 2 weeks Cieden Read more
World's third-largest gaming company
$5.72B ARR, acquired by Microsoft
Feature exploration sprint: validate ideas with proof in 2 weeks Cieden Read more
Y Combinator backed B2B SaaS in the UK
$5.1M raised post-redesign
Feature exploration sprint: validate ideas with proof in 2 weeks Cieden Read more
Now part of e& telecom group
multiple award winner
Feature exploration sprint: validate ideas with proof in 2 weeks Cieden Read more
Premium IT solutions marketplace
top-10 on Google Play
Feature exploration sprint: validate ideas with proof in 2 weeks Cieden Read more
DNA-powered wellness app
135% NPS growth

Hear it straight from our partners.

Bruce Yang
Bruce Yang

Bruce Yang

Head of Product at Way2B1

Vlad Shlosberg
Vlad Shlosberg

Vlad Shlosberg

CEO of Foqal

They have a great sense of UX. They understand not only the business requirements of a product but also its creative vision.
Simran Butalia
Simran Butalia

Simran Butalia

VP Engineering at BeBop Technology

Lina Forcier
Lina Forcier

Lina Forcier

CEO & Co-Founder at Factually Health

Annie Do
Annie Do

Annie Do

Lead of Health Initiatives at Factually Health

The new design has contributed to a significant increase in conversions. The team is creative, helpful, and highly motivated, qualities that have led to an expanded role.
Nader Amiri
Nader Amiri

Nader Amiri

Founder of el Grocer

Their ability to work quickly and follow instructions is impressive. Following an effective workflow, Cieden meets deadlines and produces satisfying deliverables. 
Michael Segal
Michael Segal

Michael Segal

CEO of Skylight

Lukasz Siemaszko
Lukasz Siemaszko

Lukasz Siemaszko

Head of Digital Product at Lykon

Victoria George
Victoria George

Victoria George

VP of Product at Kairos

Stéphane Zanoni
Stéphane Zanoni

Stéphane Zanoni

Chief Technology Officer at MeetKairos

Other ways to solve your design challenge

Find the right support for every stage of your AI journey.

POC app

from $16,000

ready in 4+ weeks

When you need a tangible, working demo to secure investor buy-in or executive approval.

  • + Functional prototype with multiple integrated AI features, not mockups
  • + AI integrations (LLMs, voice, vision)
  • + Production architecture blueprint
  • + User testing
  • + Go-to-market technical plan

MVP app

from $32,000

ready in 8+ weeks

Build the first user-ready version of your product, ready for a pilot deployment. Includes a scalable design system and fully functional core features.

  • + User-ready first version
  • + Scalable design system
  • + Core features fully functional

Team extension

from $7,200 / Per month per person

in USA / Canada: from $11,520

You outsource our specialists to fill skill gaps or expand your team's capacity, integrating them with your in-house team. Hourly pricing is available.

  • + Designers who feel like part of your in-house crew
  • + Freedom to scale your team up or down as you need
  • + Regular check-ins & strategy alignment
  • + Ongoing access to our full design expertise

Build-operate-transfer

from $25,000

One-time fee per hire

We recruit, onboard, and train a team for your project, ensuring it operates smoothly and efficiently, then transfer the team to you.

  • + A handpicked team, recruited and trained just for you
  • + Full day-to-day management and oversight handled by us
  • + A smooth transfer to your payroll or EOR model

We reply in under 24 hours.

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FAQ

How AI prototyping is different from UX prototyping?

While traditional UX prototyping manually validates specific user flows, AI prototyping uses generative models to create and test a vast array of design variations and data-driven layouts simultaneously. This allows teams to move beyond testing singular hypotheses to discover optimal solutions for complex systems, personalizing user experiences at a scale previously unimaginable. A specialized agency can help integrate this strategic capability, ensuring your prototypes test not just usability but the core intelligence of your product.

What firms specialize in AI-driven product design and prototyping?

The field of AI-native design is new, with a few forward-thinking agencies and specialized teams leading the charge. Firms like Cieden stand out by combining deep expertise in complex domains like SalesTech, FinTech, and Healthcare with a dedicated practice for applying generative AI to solve core product challenges, from data visualization to dynamic user journeys. True specialists move beyond just using AI tools; they help you build a sustainable, AI-driven design culture within your organization.

To help you navigate the landscape, we’ve compiled a list of agencies that specialize in this space. You can review it here: Top AI Product Design Agencies. 

How to get your entire team prototyping with AI?

Start with WHY. The single clear reason that would be meaningful to your team is the foundation for your roadmap. Next, select a core set of AI prototyping tools that fit your team’s workflow and run pilot projects on well-defined features to build momentum and establish best practices. To accelerate this transition, a hands-on workshop from an AI-native design agency can equip your entire product team with a methodology. A great place to start is by watching the AI in design webinar from Volodymyr Merlenko, a prominent voice in AI prototyping in Europe who creates prototypes literally every day at Cieden.

What are the best AI tools for rapid prototyping?

The best AI prototyping stack depends on the task, as different tools solve for different parts of the workflow from code generation to user flow simulation. For instance, tools like Cursor and v0.dev excel at accelerating front-end development from prompts, while large language models like Claude are powerful for brainstorming user flows and generating contextual copy at scale. True velocity, however, comes from integrating these tools into a cohesive design system, a process where an experienced partner can help you select and implement the right stack for your specific product challenges.